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1 points| ignaciovdk | 4 months ago

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ignaciovdk|4 months ago

Two weeks ago, we open-sourced Arc Core: https://github.com/Basekick-Labs/arc

Today, the results are in, Arc is now the fastest time-series database on ClickBench, outperforming QuestDB and TimescaleDB across nearly every hardware configuration. It also ranks among the top 5 fastest systems overall, alongside DuckDB, ClickHouse, and Salesforce Hyper.

Arc ingests 2.42 million records per second, tops the Cold Run charts for all system sizes, and does it all in roughly 5,500 lines of code.

It’s built on DuckDB for SQL, MessagePack for ingestion, Parquet + Arrow for columnar storage, and a lock-free multi-threaded core for compaction and WAL.

Benchmarks aren’t everything—I agree—but performance matters. It’s what lets smaller infrastructure handle serious workloads without ballooning costs.

This enables massive IoT ingestion, real-time logistics tracking, aerospace telemetry, observability at scale, and market data analytics—all without a huge footprint.

13 days since launch: 252 GitHub stars, 100+ community conversations shaping the roadmap.

Full technical breakdown and benchmarks: https://basekick.net/blog/arc-fastest-timeseries-database-cl...

Happy to answer questions about the architecture, design decisions, or benchmarking methodology.