Arc – high-throughput time-series warehouse with DuckDB analytics

In plain words

Arc is a time-series data warehouse that combines fast data ingestion with analytical query capabilities. It accepts data through a binary MessagePack API or the standard Line Protocol format, stores information as Parquet files with hourly partitions, and enables SQL queries via DuckDB. Designed for teams managing time-series data, Arc addresses the typical trade-off between ingestion speed and analytical performance, delivering high-throughput writes alongside complex query support without sacrificing either capability.

written from the facts on this page · September 2026

From the sources

Open, SQL-native time-series database for telemetry you need to keep. 34M+ records/sec ingestion, 8M+ rows/sec queries. InfluxDB Line Protocol and Telegraf compatible. Open Parquet on your storage. Single binary. S3/Azure native. Air-gap ready. AGPL-3.0. - Basekick-Labs/arc

In the maker’s words, at launch

Hi HN, I’m Ignacio, founder at Basekick Labs. Over the past months I’ve been building Arc, a time-series data platform designed to combine very fast ingestion with strong analytical queries. What Arc does? Ingest via a binary MessagePack API (fast path), Compatible with Line Protocol for existing tools (Like…

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