A flowchart on a blue background with a white logo in the top left. The chart suggests different workflows with corresponding latency needs: Fraud detection in milliseconds, Supply chain in hourly intervals, RevOps in minutes, and Finance reconciliation in daily intervals. The text emphasizes that one pipeline shouldn't manage all workflows due to varying latency requirements.

A flowchart comparing data ingestion methods: COPY INTO (hours), Snowpipe (minutes), Snowpipe Streaming (seconds), and Openflow (configurable). Text below notes the inefficiency of using a single method. Estuary's logo is in the top left corner.

"Real time vs. batch" is the wrong question to ask when building Snowflake pipelines.

Mapping each data stream to the business outcome it serves can create a data ingestion strategy that makes all your stakeholders happy.

Check out the full blog: https://bit.ly/4v5Q3E0

Snowflake in reverse? Easy, that's just Ekalfwons.

Oh, you meant reverse ETL for Snowflake? Yeah we've got you covered there, too.

Comparison chart titled "Log-Based CDC vs. Traditional ETL" by Estuary. It outlines differences across 11 dimensions like "Time to POC," "Schema changes," "Latency," and "Recovery." Each section compares "Traditional ETL," "Log-Based CDC," and "Estuary" in terms of performance, depicting Estuary’s advantages, such as faster recovery and real-time processing. The background is dark blue with light text text.

Scaling your data architecture shouldn't condemn you to a life of pipeline maintenance.

Estuary simplifies CDC ETL pipelines, combining ingestion, transformation, and delivery into one platform with the hard parts already built in.

Cover image for a webinar titled "Right-Time Data Integration for MotherDuck," presented by Estuary. Features a person identified as Zulf Qureshi, Head of Sales Engineering, in a circular photo. Scheduled for Tuesday, March 31, at 10:30 AM EST, with a duration of one hour.

Need help getting all your MotherDucks in a row? We've got you covered.

Join Estuary on March 31 for Right-Time Data Integration for MotherDuck. See a live CDC-to-warehouse demo, learn why unified ingestion wins, and get your stack questions answered.

Register today 👉🏻 https://bit.ly/4bcsbFy

A welcome announcement for Estuary features a portrait in a circular frame above the name "Meredith Stowe" with the title "VP of Marketing." The background displays the Estuary logo and the text "Welcome to Estuary!

Say hello to Estuary's new VP of Marketing!

Meredith Stowe is a seasoned B2B marketing leader with deep expertise, having previously served as VP of Marketing at HVR/Fivetran. We're incredibly excited to have her leading Estuary's marketing efforts as we scale.

This is an advertisement for Estuary's sponsorship of DataTune Nashville. The left side features a person with the name "Jonathan Wihl" and the Estuary logo. The right side displays the event details: "Building Right-Time Data Pipelines for AI" on March 7th, 2026, at Belmont University.

DataTune Nashville, we'll be seeing ya this weekend 🤠

Catch Estuary's Jonathan Wihl for his session: Building Right-Time Data Pipelines for AI. Learn how to leverage Estuary's right time pipelines to solve AI time inconsistency problems.

Sat. March 7 | 9:15 am CT | Room 412

An edit of Adele holding 6 Grammys from the 2012 Grammy Awards. Estuary's logo is edited over her face, and her Grammys are edited to look like she's holding Shopify logos.

E-commerce teams, rejoice. Estuary's Shopify native connector now supports multiple stores in a single capture.

📝 Full connector details in our docs: https://bit.ly/3ON9b9i

A person labeled "Data Engineers" is faced with two red buttons. One button is labeled "Waste engineering time on DIY," and the other "Burn $$$ on unpredictable SaaS pricing." The person appears stressed, wiping sweat from their forehead.

Your organization needs to move Postgres data to Snowflake at scale. Senior engineers are split: build the data pipeline or buy a managed tool. But what if there was a third, more flexible option?

The latest from Nam Nguyen: https://bit.ly/4rr4fod

A digital poster for a conference sponsored by Estuary, featuring Jonathan Wihl from Estuary. The text reads: "Building Right-Time Data Pipelines for AI, March 7th, 2026, Belmont University." The layout includes a photo of Jonathan Wihl and logos of sponsoring entities.

Estuary is excited to sponsor this year's DataTune Nashville conference and connect with the data community.

If you're attending, be sure to join our live session: Building Right-Time Data Pipelines for AI

March 7, 2026 | Room 412 | 9:15 am - 10:15 am CST

A case study image from Estuary featuring a testimonial quote: "Estuary helped us decouple analytics from operations. Our SQL Server no longer cries for help whenever someone runs a report." The quote is attributed to Michael Luk, a Data Analyst at LOVESPACE.

If you've ever had to manually kill a running query because it was taking down a production database, you know Michael's pain. See how Estuary helped LOVESPACE modernize their data infrastructure and ship a custom real-time transaction tracking system: https://bit.ly/46pBbpf

This image is a table comparing GDPR and SOX requirements from a data engineering perspective. The table has two columns: GDPR and SOX. Each row lists aspects like data protection, collection, retention, user identification, change handling, and more, with checkmarks indicating applicable requirements. The key insight notes that GDPR ensures privacy and protection, while SOX ensures traceability and transparency.

Some data engineers treat GDPR and SOX as items on a checklist, but they represent two fundamentally conflicting design philosophies baked into the same pipeline.

The good news: both can be handled in the same pipeline when compliance is treated as a core design principle.

Graphic featuring a quote about a "data movement layer" offering a new perspective on data integration. It emphasizes collecting data once for universal availability. The image includes a logo and a link to read more at estuary.dev/blog.

The image is an informational graphic with the Estuary logo at the top left, labeled "The Right-Time Data Platform." The text provides key takeaways about data pipelines and real-time data processing. It mentions that traditional data pipelines are inefficient, a data movement layer aids in data collection and delivery, Change Data Capture (CDC) helps reduce source database load, and stateful infrastructure prevents data loss.

Enterprises have more systems and databases than ever before to manage. The traditional pipeline model no longer makes sense. That's why a dedicated data movement layer is necessary to scale with your data demands.

Join the Estuary Community - Built for Data Engineers Join the Estuary Community and connect with data engineers building real-time pipelines. Get support, share ideas, and shape the future of data.

Have you joined our Slack community yet?

Connect with more than 1,700 developers and data engineers, receive timely support from Team Estuary, and share feedback that could shape future features and improvements. https://bit.ly/4rzAgeE

Estuary: A Pragmatic Look at Right-Time Data Integration Done Right Deployment models (public, private, BYOC), predictable pricing, one-to-many writes, and hard-won lessons from real production migrations.

1️⃣ Public vs Private vs BYOC.
2️⃣ Real-time vs batch.
3️⃣ Kafka-compatible streaming without Kafka.

A candid, technical deep dive on right-time data integration from our partners at CorrDyn 👇

https://estuary.dev/blog/estuary-a-pragmatic-look/

Promotional table featuring folded Estuary shirts, a container of blue and white USB drives, rubber ducks, and various Estuary and MotherDuck-themed stickers spread across a marble surface.

A group of people gathered around a long table with a variety of food platters, including fruits, vegetables, and breads.

A presentation slide titled "Why AI Pipelines Break on Time" by Estuary. The slide features a visual flowchart with components like Postgres (CDC), Kafka, Stream Processing, Warehouse, and Feature Store connected to Google Sheets (Customer Teams), Batch Sync, and Dimension Table. Key points listed include: "CDC events mutate constantly," "Reference data updates out-of-band," "Features drift out of sync," and "AI reasons on mixed-time truth." A note at the bottom states, "AI fails when fast facts and slow context arrive on different clocks."

A group of people is seated indoors, facing a presenter at the front of the room. The presenter is speaking in front of a large screen displaying information about "Estuary," a data infrastructure platform for AI. The setting is a modern conference space with tables and chairs.

We streamed. We queried. We quacked. Thank you to our partners MotherDuck & FirstMark, our hosts, and our engaged attendees for a wonderful data meetup last night in NYC! We hope everyone walked away with confidence to build LLM ready real-time data pipelines.

Escaping the Data Pipeline Maintenance Nightmare: A CTO’s Guide for Data Engineering Success Learn what causes data engineering technical debt, how it impacts the business, and the strategies CTOs can use to reduce it. Improve reliability, cut costs, and simplify your data pipelines.

Technical debt kills in silence.

Your ML model trained on NULL values for 3 days.
Your sales team missed a 15% conversion drop.
Your finance team forecasted on incomplete data.

How CTOs break the cycle 👉 https://bit.ly/3ZwcSCn

Wishing everyone a safe and relaxing holiday today. To all the on-call engineers out there, we see you and we appreciate your hard work 🫡

Promotional graphic for an Estuary 101 event titled 'Right-Time Data Integration for Snowflake.' The event is scheduled for February 13, 2026, at 12 PM EST, lasting one hour and hosted online. The hosts are Dani Palma and Zulf Qureshi. Includes their headshots in separate frames.

We're just several hours away from our Right-Time Data Integration for Snowflake webinar. Learn how to move data into Snowflake with Estuary. Hands-on demo included + Q&A (please only bring easy questions 🙏 )!

Check event details and RSVP here: https://bit.ly/4kDVNjx

A promotional image for an Estuary event titled "Right-Time Data Integration for Snowflake." The event is scheduled for February 13, 2026, at 12 PM EST and will last one hour. It is an online meetup hosted by Dani Palma and Zulf Qureshi. The image includes two hosts in separate circles against a blue background with abstract shapes. Estuary logo is at the top left.

We're just one day away from our webinar! 👀

Learn about right-time data and how our platform integrates with Snowflake to provide dependable pipelines for startups and enterprises alike. If you haven't RSVP'd yet, there's still time: https://luma.com/5mpttyap

Your Snowflake pipeline shows "running" but is it healthy? Throughput drops and data lag don't trigger alarms until it's too late. Monitor what matters with Estuary's OpenMetrics API + Prometheus/Datadog/Grafana.

Check out our new implementation guide: https://bit.ly/4aDtiyV

Streams, Queries & Quacks: A Data Meetup with Estuary & MotherDuck · Luma Streams, Queries & Quacks: A Data Meetup with Estuary & MotherDuck Ever wondered how to turn your company's Slack conversations into an intelligent, queryable…

Have you registered for our Streams, Queries & Quacks data meetup in NYC next week? Call us biased, but it's gonna be a duckin' good time 🦆

This event is nearing capacity, so be sure to register while there's still time: https://bit.ly/4tqqZ9X

A digital badge from Snowflake that says "AI Data Cloud Products Partner" and the Premier level is listed beneath it. Estuary logo's with the tagline "The Right-Time Data Platform" is listed in the upper lefthand corner.

Estuary is now officially a Snowflake Premier Partner! This achievement means that more people are moving more data with our Snowflake connectors. Read the full announcement 👉 https://bit.ly/45PcJgU

🚀 New in Estuary: IBM Db2 Batch connector

Extract Db2 tables on a schedule + load into your warehouse/lakehouse with declarative pipelines.

Check out the docs for more! docs.estuary.dev/reference/Connectors/cap...

Estuary: A Pragmatic Look at Right-Time Data Integration Done Right Deployment models (public, private, BYOC), predictable pricing, one-to-many writes, and hard-won lessons from real production migrations.

Real data integration is about details, not buzzwords.

Our partners at CorrDyn share a pragmatic take on right-time data integration: covering BYOC, CDC, one-to-many writes, and real migration lessons.

Worth a read 👇
https://estuary.dev/blog/estuary-a-pragmatic-look/

2x Faster MongoDB CDC: An Engineering Deep-Dive on Performance Optimization Follow Estuary's process for finetuning connector performance, identifying optimization opportunities, and implementing solutions.

Estuary's engineering team recently updated our MongoDB capture connector, which led to 2-3x faster document processing. Learn how we did it by switching from Go to Rust: https://bit.ly/4r3prRB

A presentation slide titled "Right-Time Data Integration for Snowflake" by Zulf Qureshi from Estuary. It mentions a live event at Snowflake BUILD 2026 and features Snowflake and Estuary logos.

Two individuals are standing at an Estuary booth during an event. They are both wearing matching outfits featuring the Estuary logo. The background includes wooden panels and blue walls.

Today's the day! Estuary is excited to sponsor and present at #SnowflakeBUILD London. Stop by our booth after the session to see how Estuary can simplify your Snowflake pipelines.

This is a promotional image for an online event titled "Right-Time Data Integration for Snowflake" by Estuary. The event is part of the "Estuary 101 Meetup" series and is scheduled for February 13, 2026, at 12 PM EST, lasting one hour. The hosts listed are Dani Palma and Zulf Qureshi.

New webby for Febby: Right-Time Data Integration for Snowflake

This virtual session is for data and analytics engineers, architects, and platform owners who want fresher data with fewer moving parts. RSVP here: https://luma.com/5mpttyap

A venue map for the Snowflake BUILD London 2026 event. Estuary's booth is circled in red in the top left quadrant, with a red arrow pointing at it and the text "Estuary's booth" labeled above.

Going to Snowflake BUILD London next Tuesday, February 3? Swing by our booth (marked ever so elegantly below) and say hi 👋

Graphic announcing the new Estuary Connector, titled 'Introducing the RingCentral Source Connector'. Information on further details available at docs.estuary.dev.

Estuary's latest source connector is here! Capture data from RingCentral into Estuary collections, with the following streams available:
- User Call Log
- Extensions
- Internal Contacts
- External Contacts
- Messages

Full documentation for more deets on getting setup: https://bit.ly/4k6zJOc

POV: someone decided to change customer_name in the source database to customerName