#AmazonNeptune hashtag - Bluesky

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1 week ago

Amazon Neptune now supports reading S3 data using openCyper Amazon Neptune now supports reading data from Amazon S3 within openCypher queries. Through the new `neptune.read()` procedure, customers now have an additional option of federating with external data stored in S3 versus needing to load data into Neptune. Organizations using Neptune for graph analytics can now dynamically incorporate S3-stored data without the traditional multi-step workflow requirements. Key use cases include real-time graph analytics that combine S3 data with existing graph structures, dynamic node and edge creation from external datasets, and complex graph queries requiring external reference data. The procedure supports comprehensive data types including standard and Neptune-specific formats such as geometry and datetime, while maintaining security through the caller's IAM credentials. Read from S3 is available in all regions where Amazon Neptune Database is currently offered. To learn more, check out the Neptune Database documentation.

🆕 Amazon Neptune now supports reading S3 data in openCypher queries via `neptune.read()`, enabling dynamic incorporation of external datasets for real-time analytics, node creation, and complex queries, all secured by IAM. Available in all Neptune regions.

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AWS News(Unofficial)

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1 week ago

Amazon Neptune now supports reading S3 data using openCyper https://aws.amazon.com/neptune/ now supports reading data from Amazon S3 within openCypher queries. Through the new `neptune.read()` procedure, customers now have an additional option of federating with external data stored in S3 versus needing to load data into Neptune. Organizations using Neptune for graph analytics can now dynamically incorporate S3-stored data without the traditional multi-step workflow requirements. Key use cases include real-time graph analytics that combine S3 data with existing graph structures, dynamic node and edge creation from external datasets, and complex graph queries requiring external reference data. The procedure supports comprehensive data types including standard and Neptune-specific formats such as geometry and datetime, while maintaining security through the caller's IAM credentials. Read from S3 is available in all regions where Amazon Neptune Database is currently offered. To learn more, check out the https://docs.aws.amazon.com/neptune/latest/userguide/intro.html.

Amazon Neptune now supports reading S3 data using openCyper

https://aws.amazon.com/neptune/ now supports reading data from Amazon S3 within openCypher queries. Through the new `neptune.read()` procedure, customers now have an additional option of federating with...

#AWS #AmazonNeptune #AmazonS3

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2 weeks ago

Amazon Neptune Database adds native spatial data support Amazon Neptune Database now includes comprehensive spatial data capabilities, addressing the growing need for location-aware insights in graph database applications. Spatial support provides 11 built-in spatial functions following the ISO 13249-3 standard, supporting GEOMETRY data types with seamless integration into existing GIS applications like Esri ArcGIS. With spatial support, customers no longer need to maintain separate spatial databases alongside their graph databases. Organizations can now perform proximity analysis, track asset locations and routes in network infrastructures, analyze geographic patterns in connected data, and build location-aware AI assistants that provide factual spatial answers without hallucinations. The feature particularly benefits mapping and navigation companies, ridesharing and transportation services, logistics providers, utilities, smart city planners, and emergency services organizations. Key capabilities include support for points, lines, and polygons, with functions like ST_DistanceSpheroid, ST_Within, ST_Intersects, and ST_Buffer, all compatible with openCypher query language. Spatial data support is available at no additional charge in all regions where Amazon Neptune Database is currently offered. To learn more about spatial data capabilities and how they can enhance your location-aware applications, check out the Neptune Database documentation.

🆕 Amazon Neptune now supports spatial data with 11 built-in functions for location-aware insights, including GEOMETRY types and proximity analysis, enhancing applications like mapping, logistics, and smart city planning. Available at no extra cost in all Neptune regions.

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2 weeks ago

Amazon Neptune Database is now available in Asia Pacific (Hyderabad) region Amazon Neptune Database is now available in the AWS Asia Pacific (Hyderabad) region. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types in the AWS Asia Pacific (Hyderabad) region. Amazon Neptune Database is a fast, reliable, and fully managed graph database as a service that makes it easy to build and run applications work with highly connected datasets. You can build applications using Apache TinkerPop Gremlin or openCypher on the Property Graph model, or using the SPARQL query language on W3C Resource Description Framework (RDF). Neptune also offers enterprise features such as high availability, automated backups, and network isolation to help customers quickly deploy applications to production. Amazon Neptune supports Neptune Global Database designed for globally distributed applications, allowing a single Neptune database to span multiple AWS Regions. To get started, you can create a new Neptune cluster using the AWS Management Console, AWS CLI, or a quickstart AWS CloudFormation template. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.

🆕 Amazon Neptune is now available in the AWS Asia Pacific (Hyderabad) region, offering R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types. This managed graph database supports Gremlin, openCypher, and SPARQL, with high availability and automated backups.

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AWS News(Unofficial)

@awsnews.bsky.social

2 weeks ago

Amazon Neptune Database adds native spatial data support https://aws.amazon.com/neptune/ Database now includes comprehensive spatial data capabilities, addressing the growing need for location-aware insights in graph database applications. Spatial support provides 11 built-in spatial functions following the ISO 13249-3 standard, supporting GEOMETRY data types with seamless integration into existing GIS applications like https://www.esri.com/en-us/arcgis/geospatial-platform/overview. With spatial support, customers no longer need to maintain separate spatial databases alongside their graph databases. Organizations can now perform proximity analysis, track asset locations and routes in network infrastructures, analyze geographic patterns in connected data, and build location-aware AI assistants that provide factual spatial answers without hallucinations. The feature particularly benefits mapping and navigation companies, ridesharing and transportation services, logistics providers, utilities, smart city planners, and emergency services organizations. Key capabilities include support for points, lines, and polygons, with functions like ST_DistanceSpheroid, ST_Within, ST_Intersects, and ST_Buffer, all compatible with openCypher query language. Spatial data support is available at no additional charge in all regions where Amazon Neptune Database is currently offered. To learn more about spatial data capabilities and how they can enhance your location-aware applications, check out the https://docs.aws.amazon.com/neptune/latest/userguide/intro.html.

Amazon Neptune Database adds native spatial data support

https://aws.amazon.com/neptune/ Database now includes comprehensive spatial data capabilities, addressing the growing need for location-aware insights in graph database applications. Spatial support provides 11 built...

#AWS #AmazonNeptune

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AWS News(Unofficial)

@awsnews.bsky.social

2 weeks ago

Amazon Neptune Database is now available in Asia Pacific (Hyderabad) region https://aws.amazon.com/neptune/ Database is now available in the https://aws.amazon.com/local/india/ region. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types in the AWS Asia Pacific (Hyderabad) region. Amazon Neptune Database is a fast, reliable, and fully managed graph database as a service that makes it easy to build and run applications work with highly connected datasets. You can build applications using Apache TinkerPop Gremlin or openCypher on the Property Graph model, or using the SPARQL query language on W3C Resource Description Framework (RDF). Neptune also offers enterprise features such as high availability, automated backups, and network isolation to help customers quickly deploy applications to production. Amazon Neptune supports Neptune Global Database designed for globally distributed applications, allowing a single Neptune database to span multiple AWS Regions. To get started, you can create a new Neptune cluster using the https://console.aws.amazon.com/neptune, https://awscli.amazonaws.com/v2/documentation/api/latest/reference/neptune/create-db-cluster.html, or a https://docs.aws.amazon.com/neptune/latest/userguide/get-started-create-cluster.html#get-started-cfn-create AWS CloudFormation template. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/ and https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Amazon Neptune Database is now available in Asia Pacific (Hyderabad) region

https://aws.amazon.com/neptune/ Database is now available in the https://aws.amazon.com/local/india/ region. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instanc...

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AWS News(Unofficial)

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1 month ago

Amazon Neptune Analytics is now available in 7 additional regions https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html is now available in Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calgary), Asia Pacific (Malaysia), and Europe (Zurich) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics. Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the https://ap-south-1.console.aws.amazon.com/neptune/home?region=ap-south-1#analytics-graphs:, https://docs.aws.amazon.com/cli/latest/reference/neptune-graph/. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/ and https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Amazon Neptune Analytics is now available in 7 additional regions

docs.aws.amazon.com/neptune-analytics/latest... is now available in Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calg...

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1 month ago

Amazon Neptune Analytics is now available in 7 additional regions Amazon Neptune Analytics is now available in Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calgary), Asia Pacific (Malaysia), and Europe (Zurich) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics. Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.

🆕 Amazon Neptune Analytics is live in 7 regions: Bahrain, UAE, Tel Aviv, Cape Town, Calgary, Malaysia, Zurich. It scales graph analytics, boosts AI accuracy, and integrates with Amazon Bedrock, Strands AI, and agentic memory tools.

#AWS #AmazonNeptune

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AWS News(Unofficial)

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2 months ago

Amazon Neptune Analytics is now available in 7 additional regions https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html is now available in US West (N. California), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Hong Kong), Europe (Stockholm), Europe (Paris), and South America (São Paulo) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics. Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the https://ap-south-1.console.aws.amazon.com/neptune/home?region=ap-south-1#analytics-graphs:, https://docs.aws.amazon.com/cli/latest/reference/neptune-graph/. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/ and https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Amazon Neptune Analytics is now available in 7 additional regions

docs.aws.amazon.com/neptune-analytics/latest... is now available in US West (N. California), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Hong Kong)...

#AWS #AmazonNeptune

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2 months ago

Amazon Neptune Analytics is now available in 7 additional regions Amazon Neptune Analytics is now available in US West (N. California), Asia Pacific (Seoul), Asia Pacific (Osaka), Asia Pacific (Hong Kong), Europe (Stockholm), Europe (Paris), and South America (São Paulo) regions. You can now create and manage Neptune Analytics graphs in these new regions and run advanced graph analytics. Amazon Neptune is a serverless graph database for connected data, improves the accuracy of AI applications, and lowers operational burden and costs. Neptune instantly scales graph workloads removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database and analytics engine that gives you the power of connected data with the enterprise capabilities and value of AWS. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.

🆕 Amazon Neptune Analytics is now in 7 new regions: US West, Asia Pacific, and Europe. Manage advanced graph analytics with scalable, serverless Neptune for connected data, boosting AI accuracy and efficiency.

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AWS News(Unofficial)

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2 months ago

Amazon Neptune Database now supports R7g and R8g instances in 5 additional regions https://aws.amazon.com/neptune/ now supports Graviton3-based R7g and Graviton4-based R8g instances for Amazon Neptune engine versions 1.4.5 or above, in Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Singapore), Canada (Central) and US West (N. California). R7g and R8g instances are priced -16% vs R6g. Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Graviton4-based R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. AWS Graviton4 processors are up to 40% faster for databases than AWS Graviton3 processors. You can launch R7g and R8g instances for Neptune using the https://console.aws.amazon.com/neptune/ or using the https://awscli.amazonaws.com/v2/documentation/api/latest/reference/neptune/index.html. Upgrading a Neptune cluster to R7g or R8g instances requires a simple instance type modification for Neptune engine versions 1.4.5 or higher. For more information on pricing and regional availability, refer to the https://aws.amazon.com/neptune/pricing/.

Amazon Neptune Database now supports R7g and R8g instances in 5 additional regions

https://aws.amazon.com/neptune/ now supports Graviton3-based R7g and Graviton4-based R8g instances for Amazon Neptune engine versions 1.4.5 or above, in Asia Pacific (Hong Kong), Asia Pacifi...

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2 months ago

Amazon Neptune Database now supports R7g and R8g instances in 5 additional regions Amazon Neptune Database now supports Graviton3-based R7g and Graviton4-based R8g instances for Amazon Neptune engine versions 1.4.5 or above, in Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Singapore), Canada (Central) and US West (N. California). R7g and R8g instances are priced -16% vs R6g. Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Graviton4-based R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. AWS Graviton4 processors are up to 40% faster for databases than AWS Graviton3 processors. You can launch R7g and R8g instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7g or R8g instances requires a simple instance type modification for Neptune engine versions 1.4.5 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.

🆕 Amazon Neptune now supports R7g and R8g instances in 5 regions, offering up to 30Gbps networking, DDR5 memory, and up to 48xlarge size. R7g and R8g are 16% cheaper than R6g, and upgrading to them is simple. Available in Asia Pacific and Canada.

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AWS News(Unofficial)

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3 months ago

Amazon Neptune Database is now available in the AWS Europe (Zurich) Region https://aws.amazon.com/neptune/ Database is now available in the Europe (Zurich) Region on engine versions 1.4.5.0 and later. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types in the AWS Europe (Zurich) Region. Amazon Neptune Database is a fast, reliable, and fully managed graph database as a service that makes it easy to build and run applications work with highly connected datasets. You can build applications using Apache TinkerPop Gremlin or openCypher on the Property Graph model, or using the SPARQL query language on W3C Resource Description Framework (RDF). Neptune also offers enterprise features such as high availability, automated backups, and network isolation to help customers quickly deploy applications to production. To get started, you can create a new Neptune cluster using the https://console.aws.amazon.com/neptune, https://awscli.amazonaws.com/v2/documentation/api/latest/reference/neptune/create-db-cluster.html, or a https://docs.aws.amazon.com/neptune/latest/userguide/get-started-create-cluster.html#get-started-cfn-create AWS CloudFormation template. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/ and https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Amazon Neptune Database is now available in the AWS Europe (Zurich) Region

https://aws.amazon.com/neptune/ Database is now available in the Europe (Zurich) Region on engine versions 1.4.5.0 and later. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g...

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3 months ago

Amazon Neptune Database is now available in the AWS Europe (Zurich) Region Amazon Neptune Database is now available in the Europe (Zurich) Region on engine versions 1.4.5.0 and later. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types in the AWS Europe (Zurich) Region. Amazon Neptune Database is a fast, reliable, and fully managed graph database as a service that makes it easy to build and run applications work with highly connected datasets. You can build applications using Apache TinkerPop Gremlin or openCypher on the Property Graph model, or using the SPARQL query language on W3C Resource Description Framework (RDF). Neptune also offers enterprise features such as high availability, automated backups, and network isolation to help customers quickly deploy applications to production. To get started, you can create a new Neptune cluster using the AWS Management Console, AWS CLI, or a quickstart AWS CloudFormation template. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.

🆕 Amazon Neptune Database is now available in the AWS Europe (Zurich) Region with engine versions 1.4.5.0+. Use R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instances. Neptune is a fully managed graph database for building applications with highly connected datasets.

#AWS #AmazonNeptune

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G.V() - Graph Database IDE

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4 months ago

The Weekly Edge: Dgraph Lives, RyuGraph Rises, Gephi Lite & More [31 October 2025] Discover what’s new in the world of graph technology this week, including a Dgraph acquisition, a new fork of Kuzu, the release of Gephi Lite, and more.

This week's headlines from the world of #graphdatabases and graph tech:
* Meet #RyuGraph
* #Dgraph finds a new patron
* Dave Bechberger from #AWS talks AI memory
* Ontology design 101
* Gephi Lite v1.0 is here (ICYMI)

More here: gdotv.com/blog/weekly-...

#Kuzu #Ontologies #AmazonNeptune #Graphviz

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G.V() - Graph Database IDE

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5 months ago

TinkerPop Wide: Graph-Enhanced AI Memory and NetworkX Cloud Analytics with Amazon Neptune YouTube video by Apache TinkerPop

[Watch:] TinkerPop Wide: Graph-Enhanced AI Memory & NetworkX Cloud Analytics with Amazon Neptune

In this week's livestream, the #Tinkerpop team show you how to improve #AI memory and accuracy using #NetworkX and @awscloud.bsky.social #AmazonNeptune

Watch here: www.youtube.com/watch?v=alpG...

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AWS News(Unofficial)

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5 months ago

Amazon Neptune Analytics is now available in AWS Canada (Central) and Australia (Sydney) Regions https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html is now available in the AWS Canada (Central) and Australia (Sydney) Regions. You can now create and manage Neptune Analytics graphs in the AWS Canada (Central) and Australia (Sydney) Regions and run advanced graph analytics and vector similarity search. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements https://docs.aws.amazon.com/neptune/latest/userguide/intro.html, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that's stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the https://ca-central-1.console.aws.amazon.com/neptune/home?region=ca-central-1#analytics-graphs:, https://docs.aws.amazon.com/cli/latest/reference/neptune-graph/. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/ and https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Amazon Neptune Analytics is now available in AWS Canada (Central) and Australia (Sydney) Regions

docs.aws.amazon.com/neptune-analytics/latest... is now available in the AWS Canada (Central) and Australia (Sydney) Regions. You c...

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5 months ago

Amazon Neptune Analytics is now available in AWS Canada (Central) and Australia (Sydney) Regions Amazon Neptune Analytics is now available in the AWS Canada (Central) and Australia (Sydney) Regions. You can now create and manage Neptune Analytics graphs in the AWS Canada (Central) and Australia (Sydney) Regions and run advanced graph analytics and vector similarity search. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that's stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.

🆕 Amazon Neptune Analytics is now available in AWS Canada (Central) and Australia (Sydney) Regions for advanced graph analytics and vector search, complementing Amazon Neptune Database for fast data analysis and exploration.

#AWS #AmazonNeptune

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AWS News(Unofficial)

@awsnews.bsky.social

5 months ago

AWS Weekly Roundup: AWS Transform, Amazon Neptune, and more (September 8, 2025) Summer has drawn to a close here in Utrecht, where I live in the Netherlands. In two weeks, I’ll be attending AWS Community Day 2025, hosted at the Kinepolis Jaarbeurs Utrecht on September 24. The single-day event will bring together over 500 cloud practitioners from across the Netherlands, featuring 25 breakout sessions across five technical […]

AWS Weekly Roundup: AWS Transform, Amazon Neptune, and more (September 8, 2025)

Summer has drawn to a close here in Utrecht, where I live in the Net...

#AWS #AmazonBedrock #AmazonElasticContainerService #AmazonNeptune #Announcements #AwsTransform #AwsUserNotifications #Launch #News #WeekInReview

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AWS News(Unofficial)

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5 months ago

Amazon Neptune Database now integrates with GraphStorm for scalable graph machine learning Today, we’re announcing the integration of Amazon Neptune Database with GraphStorm, a scalable, open-source graph machine learning (ML) library built for enterprise-scale applications. This brings together Neptune’s OLTP (Online transaction processing) graph capabilities with GraphStorm’s scalable inference engine, making it easier for customers to deploy graph ML in latency-sensitive, transactional environments. With this integration, developers can train GNN models using GraphStorm and deploy them as real-time inference endpoints that directly query Neptune for subgraph neighborhoods on demand. Predictions—such as node classifications or link predictions—can then be returned in sub-second timeframes, closing the loop between transactional graph updates and ML-driven decisions. This integration unlocks use cases such as fraud detection and prevention, where organizations can make real-time decisions based on complex relationships among accounts, devices, and transactions; dynamic recommendations, where systems can instantly adapt to user behavior using live graph context; and graph-based risk scoring, where risk assessments are continuously updated as the graph evolves. Customers can also combine real-time inference results with graph analytics queries for deeper operational insights, enabling ML feedback loops directly within graph applications. This feature is available in all regions where Amazon Neptune Database is available. To learn more and try the integration yourself, check out our announcement blog: https://aws.amazon.com/blogs/machine-learning/modernize-fraud-prevention-graphstorm-v0-5-for-real-time-inference/

Amazon Neptune Database now integrates with GraphStorm for scalable graph machine learning

Today, we’re announcing the integration of Amazon Neptune Database with GraphStorm, a scalable, open-source graph machine learning (ML) library built for enterpris...

#AWS #AmazonSagemaker #AmazonNeptune

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5 months ago

Amazon Neptune Database now integrates with GraphStorm for scalable graph machine learning Today, we’re announcing the integration of Amazon Neptune Database with GraphStorm, a scalable, open-source graph machine learning (ML) library built for enterprise-scale applications. This brings together Neptune’s OLTP (Online transaction processing) graph capabilities with GraphStorm’s scalable inference engine, making it easier for customers to deploy graph ML in latency-sensitive, transactional environments. With this integration, developers can train GNN models using GraphStorm and deploy them as real-time inference endpoints that directly query Neptune for subgraph neighborhoods on demand. Predictions—such as node classifications or link predictions—can then be returned in sub-second timeframes, closing the loop between transactional graph updates and ML-driven decisions. This integration unlocks use cases such as fraud detection and prevention, where organizations can make real-time decisions based on complex relationships among accounts, devices, and transactions; dynamic recommendations, where systems can instantly adapt to user behavior using live graph context; and graph-based risk scoring, where risk assessments are continuously updated as the graph evolves. Customers can also combine real-time inference results with graph analytics queries for deeper operational insights, enabling ML feedback loops directly within graph applications. This feature is available in all regions where Amazon Neptune Database is available. To learn more and try the integration yourself, check out our announcement blog: Modernize fraud prevention: GraphStorm v0.5 for real-time inference for a full walk-through.

🆕 Amazon Neptune integrates GraphStorm for scalable graph ML, merging Neptune’s OLTP graph with GraphStorm’s engine for real-time inference, boosting fraud detection, recommendations, and risk scoring. Available worldwide. Learn more: Modernize fraud preventio…

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6 months ago

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that's stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the https://ap-south-1.console.aws.amazon.com/neptune/home?region=ap-south-1#analytics-graphs:, or AWS CLI. For more information on pricing and region availability, refer to the https://aws.amazon.com/neptune/pricing/.

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region

docs.aws.amazon.com/neptune-analytics/latest... is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics...

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6 months ago

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region Amazon Neptune Analytics is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that's stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page.

🆕 Amazon Neptune Analytics is now available in the AWS Asia Pacific (Mumbai) Region, enabling advanced graph analytics and fast data processing for investigative workloads. Create and manage Neptune Analytics graphs to run low-latency queries and vector search.

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6 months ago

Amazon Neptune Analytics is now supported as a graph store in NetworkX Today, we are announcing a new capability that NetworkX now supports Neptune Analytics as a graph store. With this release, developers can continue to use familiar NetworkX APIs while automatically offloading graph algorithm workloads to Neptune’s scalable, high-performance analytics engine. This makes it simple to scale graph computations on demand without refactoring code, combining the ease of local development with the performance and elasticity of a fully managed AWS service. Previously, when datasets grew beyond the limits of a local environment, users had to turn to third-party services—rebuilding their graph models to fit proprietary formats, exporting and importing data, and learning entirely new systems. With the new nx-neptune integration, developers only need an AWS account and credentials; the solution automatically handles graph data modeling, data movement (Zero-ETL), and infrastructure management. It provisions a Neptune Analytics instance, runs the requested algorithm, returns results directly to the user, and then tears down the infrastructure for a cost-effective, serverless-like experience—all without requiring the user to leave their familiar Python workflow. NetworkX is a widely used open-source Python library for creating, analyzing, and visualizing complex graphs. It offers an extensive collection of graph algorithms and utilities, making it a popular choice among researchers, data scientists, and developers for prototyping and experimenting with graph-based applications. To learn more about the Neptune–NetworkX Integration, visit https://pypi.org/project/nx-neptune/0.4.0/.

Amazon Neptune Analytics is now supported as a graph store in NetworkX

Today, we are announcing a new capability that NetworkX now supports Neptune Analytics as a graph store. With this release, developers can continue to use familiar NetworkX APIs while automatically offl...

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6 months ago

Amazon Neptune Analytics is now supported as a graph store in NetworkX Today, we are announcing a new capability that NetworkX now supports Neptune Analytics as a graph store. With this release, developers can continue to use familiar NetworkX APIs while automatically offloading graph algorithm workloads to Neptune’s scalable, high-performance analytics engine. This makes it simple to scale graph computations on demand without refactoring code, combining the ease of local development with the performance and elasticity of a fully managed AWS service. Previously, when datasets grew beyond the limits of a local environment, users had to turn to third-party services—rebuilding their graph models to fit proprietary formats, exporting and importing data, and learning entirely new systems. With the new nx-neptune integration, developers only need an AWS account and credentials; the solution automatically handles graph data modeling, data movement (Zero-ETL), and infrastructure management. It provisions a Neptune Analytics instance, runs the requested algorithm, returns results directly to the user, and then tears down the infrastructure for a cost-effective, serverless-like experience—all without requiring the user to leave their familiar Python workflow. NetworkX is a widely used open-source Python library for creating, analyzing, and visualizing complex graphs. It offers an extensive collection of graph algorithms and utilities, making it a popular choice among researchers, data scientists, and developers for prototyping and experimenting with graph-based applications. To learn more about the Neptune–NetworkX Integration, visit the documentation.

🆕 NetworkX now supports Amazon Neptune Analytics as a graph store, enabling scalable, high-performance graph computations on AWS without code changes, combining local development ease with Neptune’s elasticity and performance.

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6 months ago

AWS Weekly Roundup: AWS Transform, Amazon Neptune, and more (September 8, 2025) Summer has drawn to a close here in Utrecht, where I live in the Netherlands. In two weeks, I’ll be attending AWS Community Day 2025, hosted at the Kinepolis Jaarbeurs Utrecht on September 24. The single-day event will bring together over 500 cloud practitioners from across the Netherlands, featuring 25 breakout sessions across five technical […]

AWS Weekly Roundup: AWS Transform, Amazon Neptune, and more (September 8, 2025)

Summer has drawn to a close here in Utrecht, where I live in the Net...

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6 months ago

Amazon Neptune Database now supports Public Endpoints for simplified development access Amazon Neptune Database, a fully managed graph database service, now supports Public Endpoints, allowing developers to connect directly to Neptune databases from their development desktops without complex networking configurations. With Public Endpoints, developers can securely access their Neptune databases from outside the VPC, eliminating the need for VPN connections, bastion hosts, or other networking configurations. This feature streamlines the development process while maintaining security through existing controls like IAM authentication, VPC security groups, and encryption in transit. Public Endpoints can be enabled for new or existing Neptune clusters, with engine version 1.4.6 or above, through the AWS Management Console, AWS CLI, or AWS SDK. When enabled, Neptune generates a publicly accessible endpoint that developers can use with standard Neptune connection methods from their development machines. This feature is available at no additional cost beyond standard Neptune pricing and is available today in all AWS Regions where Neptune Database is offered. To learn more, visit the https://docs.aws.amazon.com/neptune/latest/userguide/intro.html.

Amazon Neptune Database now supports Public Endpoints for simplified development access

Amazon Neptune Database, a fully managed graph database service, now supports Public Endpoints, allowing developers to connect directly to Neptune databases from their de...

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6 months ago

Amazon Neptune Database now supports Public Endpoints for simplified development access Amazon Neptune Database, a fully managed graph database service, now supports Public Endpoints, allowing developers to connect directly to Neptune databases from their development desktops without complex networking configurations. With Public Endpoints, developers can securely access their Neptune databases from outside the VPC, eliminating the need for VPN connections, bastion hosts, or other networking configurations. This feature streamlines the development process while maintaining security through existing controls like IAM authentication, VPC security groups, and encryption in transit. Public Endpoints can be enabled for new or existing Neptune clusters, with engine version 1.4.6 or above, through the AWS Management Console, AWS CLI, or AWS SDK. When enabled, Neptune generates a publicly accessible endpoint that developers can use with standard Neptune connection methods from their development machines. This feature is available at no additional cost beyond standard Neptune pricing and is available today in all AWS Regions where Neptune Database is offered. To learn more, visit the Amazon Neptune documentation.

🆕 Amazon Neptune now supports Public Endpoints for easier development access, letting developers connect directly from outside the VPC without VPNs or complex setups, while maintaining security via IAM, VPC groups, and encryption. Available at no extra cost.

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AWS News(Unofficial)

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6 months ago

Amazon Neptune Now Integrated with Zep to Power Long-Term Memory for GenAI Applications Today, we’re announcing the integration of Amazon Neptune with Zep, an open-source memory server for LLM applications. Zep enables developers to persist, retrieve, and enrich user interaction history, providing long-term memory and context for AI agents. With this launch, customers can now use Neptune Database or Neptune Analytics as the underlying graph store and Amazon Open Search as the text-search store for Zep’s memory system, enabling graph-powered memory retrieval and reasoning. This integration makes it easier to build LLM agents with long-term memory, context, and reasoning. Zep users can now store and query memory graphs at scale, unlocking multi-hop reasoning and hybrid retrieval across graph, vector, and keyword modalities. By combining Zep’s memory orchestration with Neptune’s graph-native knowledge representation, developers can build more personalized, context-aware, and intelligent LLM applications. Zep helps applications remember user interactions, extract structured knowledge, and reason across memory—making it easier to build LLM agents that improve over time. To learn more about the Neptune–Zep integration, check https://github.com/getzep/graphiti/blob/main/examples/quickstart/quickstart_neptune.py.

Amazon Neptune Now Integrated with Zep to Power Long-Term Memory for GenAI Applications

Today, we’re announcing the integration of Amazon Neptune with Zep, an open-source memory server for LLM applications. Zep enables developers to persist, retrieve, and enrich user int...

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6 months ago

Amazon Neptune Now Integrated with Zep to Power Long-Term Memory for GenAI Applications Today, we’re announcing the integration of Amazon Neptune with Zep, an open-source memory server for LLM applications. Zep enables developers to persist, retrieve, and enrich user interaction history, providing long-term memory and context for AI agents. With this launch, customers can now use Neptune Database or Neptune Analytics as the underlying graph store and Amazon Open Search as the text-search store for Zep’s memory system, enabling graph-powered memory retrieval and reasoning. This integration makes it easier to build LLM agents with long-term memory, context, and reasoning. Zep users can now store and query memory graphs at scale, unlocking multi-hop reasoning and hybrid retrieval across graph, vector, and keyword modalities. By combining Zep’s memory orchestration with Neptune’s graph-native knowledge representation, developers can build more personalized, context-aware, and intelligent LLM applications. Zep helps applications remember user interactions, extract structured knowledge, and reason across memory—making it easier to build LLM agents that improve over time. To learn more about the Neptune–Zep integration, check the sample Notebook.

🆕 Amazon Neptune now integrates with Zep for long-term memory in GenAI, enabling developers to build context-aware, intelligent LLM applications with persistent user interaction history and multi-hop reasoning.

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