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I’ve posted here before about Arc, and wanted to share a quick update. We’ve been heads down the last few weeks, and things are moving fast, performance is up, features are landing, and the community response has been awesome.
Arc uses DuckDB as the SQL engine, with MessagePack, Arrow, and Parquet under the hood. Right now we’re seeing around 2.45M RPS for metrics, and about 1M RPS for logs, events, and traces. It now supports retention policies, deletes, and continuous queries that aggregate data as it comes in.
We also built a VS Code extension to explore and query Arc, added Apache Superset integration, and are working on Telegraf and a Grafana datasource next.
Feedback is always welcome. good, bad, or brutal. It all helps.
Happy Thursday!
https://news.ycombinator.com/item?id=45505407
This community pushed Arc forward faster than I imagined, from architecture ideas to performance discussions, it’s been awesome to geek out with so many of you.
We’ve now crossed 210 stars on GitHub and added fresh ClickBench results (36.43 s cold / 35.12 s hot) on AWS c6a.4xlarge, plus 2.01 M records/sec write throughput using MessagePack.
Landing > basekick.net Blog > basekick.net/blog Repo > github.com/Basekick-Labs/arc (Star it if you feel it)
Docs are coming later today, and more benchmarks soon.
Appreciate everyone who tested, challenged, or just said “this looks cool.”