Not every feature gets the attention it deserves at release time.
This is the first in our new monthly series: a closer look at the most impactful things we have shipped recently. 🌲
cedardb.com/blog/release...
Posts by CedarDB
When you’re over the tips of your skis in analytics, simple tools don’t cut it.
We used Parquet to carry Stack Overflow data from ClickHouse to CedarDB.
Result: CedarDB ran our complex queries more than 4X faster.
Read the full ski-themed benchmark ⛷️ cedardb.com/blog/ski_par...
Strings are everywhere; and often the most filtered columns in analytics.
So compression isn't just about saving space, it's also about query speed.
CedarDB now uses FSST to reduce string storage while keeping queries fast with the help of a dictionary.
🔗 cedardb.com/blog/string_...
Stop nesting database systems just to paper over analytics pain. pg_duckdb and pg_clickhouse look tidy, but they rarely fix the real bottlenecks.
We explain why, and what we had to build to get HTAP right end‑to‑end in our latest blog post: cedardb.com/blog/unnest_...
As we prepare for AWS Re:Invent, we wrote about a recent PoC in "CedarDB Tames the Slopes." The steady line on the graph might evoke images of the long, straight drive to Vegas on I-15. Enjoy our post and looking forward to seeing you in Vegas next week!
cedardb.com/blog/takes_t...
🎃 Ready for some code chills for Halloween? 👻 In “Down with template (or not)!”, we venture into the dark world of C++ templates. 😱 Prepare for some template madness!
cedardb.com/blog/down_wi...
What if a database could be your game engine?
During parental leave @lukasvogel.bsky.social
built DOOMQL: A multiplayer DOOM-like where everything (rendering, game loop, state) runs in pure SQL on CedarDB.
It's fast, ridiculous, and surprisingly elegant.
Full write-up: cedardb.com/blog/doomql
Ever wished your analytics could keep up with reality instead of lagging behind?
We wrote about connecting #CockroachDB change data capture (CDC) with #CedarDB, and what that means for running lightning-fast analytical queries on live data.
cedardb.com/blog/crdb_cd...
Leaving academia is always a big step, especially if you bring your research project with you into the real world.
Read our latest post to learn what we did to prepare a research project for production workloads and what we learned along the way: cedardb.com/blog/researc...
Congratulations to SortMergeJoins from TU Munich - winners of the 2025 SIGMOD Programming Contest! Built by the Umbra research group (CedarDB’s roots), their system ran 12× faster than median - entirely open-source and no sort-merge-joins to be found 😉: github.com/umbra-db/con...
Join us on an AI and vector-powered journey, as we explore key philosophical topics such as "Does pickled watermelon belong on a taco?", and how to search CedarDB docs using CedarDB's vector support.
cedardb.com/blog/semanti...
CedarDB Community Edition is here!
Download CedarDB Community Edition today - no paywall, no signup, just pure performance.
Read more about our CedarDB on our blog: cedardb.com/blog/launch/
Many database systems claim to be compatible with PostgreSQL. But what does that really mean?
Find out in our latest blog post and learn more about what it takes to become PostgreSQL compatible.
cedardb.com/blog/postgre...
You don’t need an army of C++ devs to hand-optimize every query. We let the code write the code.
Read our latest blog post to see how we mix runtime flexibility with almost magical performance!
cedardb.com/blog/compila...
B-trees may be decades old, but we still use them extensively in CedarDB.
Read our latest blog post to learn how to scale B-tree operations to hundreds of cores.
cedardb.com/blog/optimis...
We follow up on our past claims that fewer code branches are better in our return to blogging after our winter break.
Read on to find out why branches are a burden on the CPU, and what both you and the CPU can do to avoid performance penalties.
cedardb.com/blog/reducin...
"Helping Christmas Elves Count Presents" 🎁🎅 is the title of our last blog post of the year.
Read how to implement vectorized overflow checking here: cedardb.com/blog/vectori...
In-memory database systems were a game changer when they first came out in the early 2010s. But it looks like everyone moved back to persistent storage.
We explore the history of in-memory database systems, studying their mistakes and celebrating their achievements.
cedardb.com/blog/in_memo...