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.
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!