Show HN: Tiered storage and fast SQL for InfluxDB 1.x/2.x

3 points by ignaciovdk 9 hours ago

If you’ve run InfluxDB at scale, you know the pain: Retention policies mean throwing away history, keeping everything means huge hardware & license costs.

We built ExyData Historian to fix that.

What it does?

- Automatically exports old InfluxDB 1.x/2.x data to compressed Parquet in S3 or MinIO - Keep recent data hot in InfluxDB, move the rest to cheap storage - Run fast SQL on archived data via Apache Arrow + DuckDB - Query it all through one interface and / API. No hot/cold boundary for the user

Why it matters - 70–80% lower storage costs - Historical queries that are as fast (or faster) than InfluxDB itself - No manual exports, no query rewrites, no downtime

Who’s using it right now? InfluxDB Enterprise Customers and Huge instances of OSS, telcos and logistics companies are trying this right now.

We help you to reduce your Enterprise licensing cost, cause you are going to shrink your InfluxDB cluster.

You keep your existing InfluxDB running, Historian works alongside it, moving history to cheap storage while giving you more analytics power.

We’d love feedback from anyone managing large InfluxDB deployments.