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Stratum Adds SIMD-Accelerated Anomaly Detection

·2026.05.06 05:31

Key point

Isolation Forest-based anomaly detection with SIMD acceleration has been added to the Stratum SQL engine.

Details

Native anomaly detection has been added to Stratum, a JVM-based columnar analytics engine. Without Python or a separate data export pipeline, you can train an Isolation Forest model and compute scores using SQL alone.

The key technical features are as follows:

  • SIMD Acceleration: By leveraging the Java Vector API, fast processing speed of 6 microseconds (μs) per transaction has been achieved.
  • Query Engine Integration: The scoring functionality is integrated directly into the execution pipeline, leveraging the performance benefits of Zone Map Pruning and Chunked Streaming.
  • Open Source: It is released under the Apache 2.0 License.
anomaly-detectionisolation-forestsql-enginesimdstratum
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