Documentation
Everything you need to run Arc in production.
Install guides, configuration reference, integrations and operational detail for Arc, Arc Enterprise, Arc Launchpad and the arcli command line.
Arc OSS
The open, SQL-native time-series database.
Install it, ingest over Line Protocol or MessagePack, query with SQL, and connect Grafana, Telegraf, MQTT or OpenTelemetry.
Read the docs →Arc Enterprise
Arc for clusters, with the controls a shared deployment needs.
Multi-node clustering, RBAC, audit logging, tiered storage and query governance, on top of everything in Arc.
Read the docs →
Arc Launchpad
A self-hosted console for the Arc instances you run.
Run SQL, browse logs, manage tokens and retention, set up alerts and continuous queries, and share access with a team.
Read the docs →arcli
The command line for Arc.
Named connections, SQL queries, writes and bulk imports, token and retention admin, backups and cluster status from your terminal or a script.
Read the docs →From the blog
All posts
Elasticsearch Speaks PromQL Now. I Read It as Someone Building a Query Engine.
Elasticsearch 9.5 runs PromQL on the same compute engine as ES|QL. A query-engine builder's reading of the time, grouping, compatibility, and migration work behind it.
One Dataset, Two Engines: Arc's Zero-Copy Iceberg Tables
Enable Apache Iceberg in Arc, query the same Parquet files with Apache Spark, then watch compaction and backup work without an export pipeline or a second copy.
Arc Data Model: Five Decisions That Are Hard to Undo
How to model data in Arc: measurements, partitions, timestamps, dedup, and schema design, with what the code actually does for each choice.