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Streaming metrics compression engine. 100M events → 93 KB.
4 starsPython
Sketchlog – 100M events compressed to 93 KB using streaming sketches
by BALAVIGNESH321·Jun 12, 2026·1 point·0 comments
AI Analysis
●●●BangerWizardryBig Brain
100M events to 93 KB with constant memory using probabilistic sketches.
Strengths
- •Genuine algorithmic innovation: constant-memory streaming breaks the volume-to-RAM coupling.
- •Mathematically bounded error rates: DDSketch p99 within 1%, HyperLogLog cardinality within 3%.
- •Dead-simple Python API with no database, backend, or configuration required.
Weaknesses
- •Approximation errors mean it won't work for use cases requiring exact counts or audit trails.
- •Niche appeal: most teams already have Prometheus or Datadog handling this problem.
Category
Target Audience
Backend engineers and SREs handling high-volume metrics
Similar To
Datadog Sketches · RedisBloom · Apache DataSketches
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