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

#DataEngineering #DataSecurity #RealTimeAnalytics

📢 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

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

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

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...

Say farewell to stale data! 🚀 With Feldera, 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!
www.feldera.com/blog/feldera...

Join us for an in-depth webinar on how Feldera transforms batch analytics with its incremental computation engine.
Register shorturl.at/zQTLu

Wednesday, April 9th at 9am PST, 12pm EST

Incremental computing works great, but can someone help with GitHub Actions?
www.feldera.com/blog/the-pai...

👀Our latest release
⚡ Streamlined Batch Analytics: Sort new data without reprocessing everything.
⚡ Enhanced SQL Functions: Accurate number rounding and word joining made easy.
⚡ Improved Engine Performance: Restart with ease, thanks to saved filters.
www.feldera.com/blog/increme...

If you're attending the Fintech Meetup next week in Las Vegas, come find @feldera.bsky.social at the startup lounge (Booth S6).

We want to meet you!

Last month, we announced S3 support for our pipelines.

Today, we're making it real: You can now try it out directly in the online sandbox.

No SQL changes are needed—tweak a bit of JSON in your pipeline settings, and you're set.

www.feldera.com/blog/leverag...

@feldera.bsky.social v0.38 release - packed with improvements:

- A new redis output connector, easily and efficiently send data to the popular KV-store.

- Support for input connector orchestration so you can easily manage complex backfill scenarios

Learn more: www.feldera.com/blog/increme...

Hello v0.37, what's new?

Storage: Bloom filters, file compression, smarter data management, a configurable memory cache.

Code Generation: Avoids data duplication & optimizes outer joins.

Runtime Optimizations: Data is stored, handled internally, for the better.
www.feldera.com/blog/increme...

Join our Slack community and connect with fellow data enthusiasts.

Share insights, ask questions, and stay updated on the latest in data engineering.

We can’t wait to meet you. 👋

felderacommunity.slack.com

Tired of slow batch processing as your data grows? @felderainc 's incremental processing maintains lightning-fast performance no matter your data size. Perfect for batch, real-time, or hybrid processing needs! ⚡️
www.feldera.com/blog/batch-p...

Fault tolerance means that if a compute node fails, the pipelines seamlessly restart and resume processing from where they left off. We're diving into the technical magic behind it—periodic checkpointing and careful logging ensure your workflow stays uninterrupted.
www.feldera.com/blog/fault-t...