Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput
In high-throughput event processing, windowed aggregation is the silent killer of pipeline...
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In high-throughput event processing, windowed aggregation is the silent killer of pipeline...
\n At 3:14 AM on a Tuesday, our Flink 1.20 pipeline processing 480k events/sec started throwing GC...
By Q3 2026, 87% of active Flink 1.18 clusters will be retired, replaced by Spark 4.0 and Delta Lake...
By Q3 2026, Apache Flink 1.18 will have zero active maintainers, 72% of production deployments will...

The problem is no longer moving data For years, “real-time” meant pushing data from transactional...
Well it’s that time of year already! Whilst munching on a mince pie, enjoy the final Interesting...
Apache SeaTunnel stands out from mainstream data integration tools like DataX, Flink CDC, and Talend...
Welcome to the 10th edition of Interesting Links. I’ve got over a hundred links for you this...
What with Current NOLA 2025 happening this week, and some very last minute preparations for the demo...
At Current 2025 in New Orleans this year we built a demo for the Day 2 keynote that would...
Sneaking it in just before the end of the month! It’s a bumper set of links this month—I started...
Not got time for all this? I’ve marked 🔥 for my top reads of the month :) Data...