New tech talk:. How to Incrementally Get Results from Your Graph Data with Feldera. Interested in practical techniques for incremental computation or want to see how this fits into modern data engineering workflows?. Check it out:

Mihai Budiu, our exceptional Chief Scientist, won the 2025 #ACM #SIGCOMM Networking Systems Award for his groundbreaking work on #P4. Details:

📢 Webinar - Tomorrow! -6/18 at 9am PST-.Stop re-running complex recursive queries when your graph data changes. Feldera incrementally evaluates recursive graph computations-ideal for real-time applications in authorization, networks, and observability.

Discover how to easily build these sophisticated mechanisms with just #SQL, keeping your applications responsive without the hassle of constant recomputation.

📢 Webinar - 6/18 at 9am PST! .Stop re-running complex recursive queries when your graph data changes. Feldera incrementally evaluates recursive graph computations-ideal for real-time applications in authorization, networks, and observability.

We’ll be at the @databricks Data + AI Summit in SF next week (June 9–12). If you’re around and want to chat about how incremental computing can make your SparkSQL workloads go from hours to seconds — let’s connect. Grab some time here: #DataAISummit.

3/ Same Delta tables, same BI tools—just a lot less waiting. Curious how it works? We broke it down in our latest blog:

2/ Instead of a full re-architecture, we swapped out the batch jobs for Feldera’s Incremental View Maintenance engine. Now, gold-layer dashboards update in seconds, not hours. The best part? The rest of the stack stayed untouched.

🧵1/ Real-Time Medallion, No Re-Architecture Required. A customer came to us with a classic Medallion setup: Spark + Delta Lake, batch jobs moving data from bronze to gold. It worked—until users started asking for fresher insights.

RT @pateljm: Wrapping up the @CMUDB seminar series with a talk by Mihai Budiu (@SCSatCMU alum) from @felderainc on unifying incremental com….

Feldera's Chief Scientist, Mihai Budiu will be giving a talk on the convergence between stream processing and databases at EventCentric in Antwerp on June 4:

Our Chief Scientist, Mihai Budiu, will be giving a talk about the research underlying Feldera during the @CarnegieMellon University Database Group seminar next Monday, May 12, 2025, @ 12:20 pm EDT. Join the Zoom, or in-person.

Learn how to transform your slow batch jobs into real-time, always-up-to-date insights with our new user guide for converting Spark jobs to incremental Feldera pipelines.

NULLs are smallest in MySQL, Spark, etc., but largest in Oracle & Postgres, so programs can give different results. Some think NULLS LAST means "Make NULLs largest", but it means "sort ascending or descending, THEN consider nulls to come LAST".

#SQL Quiz! .What do you think is the meaning of .SELECT * FROM T ORDER BY X DESC NULLS LAST? .(Answer on Monday).

Incremental Update 22 adds new storage defaults and SQL features to Feldera, following our recent work reducing Rust compile times from 30 to 2 minutes. Building and deploying complex pipelines is now faster and more seamless than ever.

Ever wish batch jobs didn’t take the scenic route? .We get it. See how Feldera keeps your data up-to-date, no endless reruns. Catch the webinar recording (live demo + real examples) here:.

It's unthinkable that we've cut pipeline compilation times for our users by a factor of 15, but we did! . Want to learn more about how we made this possible?. Check out a new blog by @gerdzellweger:.

Join us in 45 minutes!.

Say farewell to stale data! 🚀 With @felderainc , harness #SQL for real-time analytics that evolve with your data. Instant insights, dynamic authorization, real-time fraud detection—at a fraction of the cost & time. Join us and redefine data analytics! .