1 link tagged with all of: open source + analytics + performance + infrastructure costs
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Lakesail rewrote Apache Spark in Rust, removing the JVM layer. The new implementation runs eight times faster and cuts infrastructure costs by 94%.
- Rewrote Apache Spark's core in Rust (~200,000 lines), eliminating the JVM entirely while keeping familiar Spark APIs
- Claims ~8x throughput improvement on standard analytics workloads by avoiding GC pauses and Java bytecode overhead
- Reports ~94% cost reduction on AWS C5 instances running identical TPC-DS queries, due to lower CPU/memory use
- Core engine is open source (Apache 2.0) and called production-ready, though advanced Spark SQL window functions and some MLlib algorithms are still missing