Feldera’s Health Page tells you why in seconds. No K8s access. No waiting on DevOps.
Details -> www.feldera.com/blog/introdu...
Feldera’s Health Page tells you why in seconds. No K8s access. No waiting on DevOps.
Details -> www.feldera.com/blog/introdu...
A lightweight health monitoring solution built directly into Feldera. See the real-time status of your compiler, API server, and runner at a glance.
✅ Available today on try.feldera.com and Enterprise Feldera
📝 Detailed technical blog coming soon
A lightweight health monitoring solution built directly into Feldera. See the real-time status of your compiler, API server, and runner at a glance.
✅ Available today on try.feldera.com and Enterprise Feldera
📝 Detailed technical blog coming soon
This edition covers:
- Product updates: adaptive join rebalancing, GC for ASOF joins and more
- New blogs: deep dive into our profiler, constant folding in Calcite, and a look back at our progress in 2025
www.linkedin.com/pulse/januar...
This edition covers:
- Product updates: adaptive join rebalancing, GC for ASOF joins and more
- New blogs: deep dive into our profiler, constant folding in Calcite, and a look back at our progress in 2025
www.linkedin.com/pulse/januar...
-Click any node -> see metrics across all cores.
-Heat map shows bottlenecks instantly.
-Expand to trace back to your SQL code.
⚡ Seconds to see what used to take hours to find.
Dive deeper: www.feldera.com/blog/introdu...
-Click any node -> see metrics across all cores.
-Heat map shows bottlenecks instantly.
-Expand to trace back to your SQL code.
⚡ Seconds to see what used to take hours to find.
Dive deeper: www.feldera.com/blog/introdu...
📦 166 unique releases, 1,162 changes, avg. new release every 2.4 days
📊 10x cost reduction for users, hours old insights into sub-second latency
⚡ 70-node Spark clusters -> single digit Feldera instances
2026: Make incremental compute inevitable
Full story: www.feldera.com/blog/feldera...
📦 166 unique releases, 1,162 changes, avg. new release every 2.4 days
📊 10x cost reduction for users, hours old insights into sub-second latency
⚡ 70-node Spark clusters -> single digit Feldera instances
2026: Make incremental compute inevitable
Full story: www.feldera.com/blog/feldera...
Which operators are a bottleneck? Are there skewed joins? Why is storage use spiking?
Our engineering team used to spend hours trying to answer these questions when performance problems would show up in the wild.
Which operators are a bottleneck? Are there skewed joins? Why is storage use spiking?
Our engineering team used to spend hours trying to answer these questions when performance problems would show up in the wild.
We’ve recently shipped features that will get you deploying faster and scaling more efficiently:
- Parallel Compilation
- Fast Backfill
- Backfill Avoidance
We’ve recently shipped features that will get you deploying faster and scaling more efficiently:
- Parallel Compilation
- Fast Backfill
- Backfill Avoidance
jobs.ashbyhq.com/feldera/544a...
jobs.ashbyhq.com/feldera/544a...
👇
www.feldera.com/blog/how-fel...
👇
www.feldera.com/blog/how-fel...
Integration is central to Feldera and its underlying theory of incremental compute. It is also all around us in the real world! 👇
Integration is central to Feldera and its underlying theory of incremental compute. It is also all around us in the real world! 👇
#DataEngineering #DataSecurity #RealTimeAnalytics
#DataEngineering #DataSecurity #RealTimeAnalytics
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
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
Details: www.sigcomm.org/awards/sigco...
Details: www.sigcomm.org/awards/sigco...
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
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
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
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
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
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
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
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
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.
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.
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...
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...
www.feldera.com/blog/warpspeed
www.feldera.com/blog/warpspeed