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Rust-native time-series table format with gap/overlap tracking and SQL queries

16 starsRust

A lightweight Delta Lake alternative for local time-series data

by redscarfman·Feb 20, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainWizardry

RoaringBitmap coverage tracking answers 'where are my gaps?' instantly; Delta/Iceberg don't.

Strengths
  • Gap and overlap detection baked into the format—not an afterthought—solves a real time-series pain (financial data corruption from duplicates)
  • Single Rust binary deployment vs JVM/Spark ecosystem reduces operational friction significantly
  • Well-documented design philosophy with concrete problem/solution table justifying format decisions
Weaknesses
  • Early MVP stage (APIs may change pre-v1.0) limits adoption for production systems requiring stability
  • Niche audience (backtesting, sensor pipelines): solves a specific problem brilliantly but not a general-purpose replacement for Delta/Iceberg
Target Audience

Data engineers building backtesting systems, IoT pipelines, and financial data stores requiring coverage guarantees

Similar To

Apache Iceberg · Delta Lake · DuckDB

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