Feldera

If you’re excited about hard technical problems and want to shape the future of real-time systems, Feldera is hiring (remotely!) for a Solutions Engineer (Enterprise) and a Software Engineer (Reliability, Performance)

jobs.ashbyhq.com/feldera/544a...

Hi Ben, I wanted to follow up on my recent note about your containerized solutions. If Feldera is exploring ways to improve mobility or streamline deployment, our container wheels could be a great fit. Here’s what our solutions offer: Increased flexibility Reduced operating costs Safe and practical mobility A more sustainable option With logistics hubs in both the US and EU, our casters are already helping teams in container rental, storage, and logistics cut down on equipment costs, labor, and time.

Some of my work at @feldera.bsky.social involves containers. I keep getting spam from some vendor who wants to sell me casters to put on the containers 🤣

How Feldera Customers Slash Cloud Spend (10x and beyond) By only needing compute resources proportional to the size of the change, instead of the size of the whole dataset, businesses can dramatically slash compute spend for their analytics.

"This is the true power of incremental compute. By only needing compute resources proportional to the size of the change, instead of the size of the whole dataset, businesses can dramatically slash compute spend for their analytics."

👇

www.feldera.com/blog/how-fel...

At @feldera.bsky.social I've been doing a lot of performance work. I needed an easy way to watch the Prometheus metrics for a pipeline, so I wrote a simple tool for the Feldera CLI that shows the pipeline metrics. Here's the progress of a pipeline that runs in about 30 seconds.

Stream Integration In this blog post we informally introduce one core streaming operation: integration. We show that integration is a simple, useful, and fundamental stream processing primitive, which is used not only…

If you've written even the most basic compute program, you've likely already written programs that "integrate".

Integration is central to Feldera and its underlying theory of incremental compute. It is also all around us in the real world! 👇

The future of data security isn't about choosing between compliance and performance. It's about making security a performance feature.

Learn how to implement fine-grained authorization without performance penalties: docs.feldera.com/use_cases/fi...

What if you could have both security AND speed?
Modern fine-grained authorization embeds security directly into data processing, delivering:

- Microsecond authorization decisions
- Real-time row/column-level filtering
- Automated compliance reporting
- Actually improved query performance

What are some the the typical challenges?
- 300-500ms latency added per query
- Complex compliance audits taking weeks
- Manual permission tracking via spreadsheets
- Performance degradation with granular controls

Traditional authorization systems force an impossible trade-off: secure data access OR fast query performance. With SOX compliance audits intensifying and data breach costs averaging $4.45M, this choice is becoming a business risk.

"We chose performance over security" - a dilemma no data team should face.

#DataEngineering #DataSecurity #RealTimeAnalytics

YouTube video by Feldera, Inc. How to Incrementally Get Results from Your Graph Data with Feldera

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: youtu.be/vpVAZbaZ2Hg

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

Details: www.sigcomm.org/awards/sigco...

📢 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.

Sign Up - t.co/0iWPIMZY8C

Don't miss our 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.

tinyurl.com/rb5my7d8

📢 Webinar - 6/18 at 9am PST!
Stop re-running complex recursive queries when your graph data changes. Feldera incrementally evaluates recursive graph computations. Learn to easily build these mechanisms with #SQL, without the hassle of constant recomputation.
tinyurl.com/rb5my7d8

We’ll be at the #Databricks Data + AI Summit in SF next week (6/9–12).

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: calendly.com/matt-feldera...

#DataAISummit #DataEngineering

Interview with Ben Pfaff

Today, the USENIX newsletter ;login: published an interview with me: www.usenix.org/publications.... Read it to find out about Open vSwitch, @feldera.bsky.social, and more!

We broke it down in our blog: www.feldera.com/blog/medalli...
You can kick the tires at try.feldera.com

3/ The best part? The rest of the stack stayed untouched.

Same Delta tables, same BI tools—just a lot less waiting.

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.

🧵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.

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: 2025.eventcentric.eu/program/unif...

docs.feldera.com/use_cases/ba...

It's a wonderful time to join us at @feldera.bsky.social! 🚀

If you're a systems engineer who loves working on data-intensive systems and is fluent in Rust, Kubernetes, Docker and cloud tech, do apply!

jobs.ashbyhq.com/feldera/9754...

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.
www.feldera.com/blog/warpspeed

CORRECT!
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.
www.feldera.com/blog/increme...

YouTube video by Feldera, Inc. Feldera Webinar Replacing Batch Analytics

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:
www.youtube.com/watch?v=rcq3...

Our Rust compilation shenanigans have hit HN