Infrastructure●●●Banger
Searchable compression for JSON/NDJSON (skip ~99% pages; sub-ms lookups
Searchable JSON compression at 7.7% with 0.085ms random lookups; skips 99% of pages.
WizardryBig Brain
Tetsuro
113mo ago
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GitHub Repository
Queryable time-series compression in pure C. Sub-microsecond aggregates on compressed sensor data. Zero dependencies.
2 starsC
Striq – Query lossy time series in C at 0.4µs without decompressing
by NahumResearch09·Mar 8, 2026·2 points·1 comment
AI Analysis
●●●BangerWizardrySolve My Problem
Query compressed time series in 0.4µs without decompressing—loses only 15% ratio vs Zstd.
Strengths
- •Sub-microsecond query latency on compressed data is a genuine win (Zstd needs ~3.4ms decompression)
- •User-controlled epsilon error bounds: trading compression ratio for queryability is the right knob
- •Zero dependencies, pure C11, ships CLI + Python bindings immediately
Weaknesses
- •7x compression claim is misleading: real datasets (climate/weather) achieve 2.5–3.5x, worse than Zstd at 4x
- •Loss of queryability trade-off only matters for specific use cases (IoT cold storage); general compression users prefer Zstd
Category
Target Audience
IoT platforms, embedded systems, timeseries database engineers
Similar To
Gorilla (time-series compression) · TimescaleDB · InfluxDB storage engine
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