About Arc
Industrial IoT generates massive data.
We built the database that can handle it.
Industrial IoT generates massive data. Racing telemetry pushes 100M+ sensor readings per race. Smart cities monitor billions of infrastructure events daily. Mining operations track equipment telemetry at unprecedented scale.
Traditional time-series databases can't keep up. They're slow, expensive, and lock your data in proprietary formats.
Arc solves this: 9.47M records/sec ingestion, sub-second queries on billions of rows, portable Parquet files you own.
Built on DuckDB and Parquet because we believe industrial data should be:
- Fast to query - Billions of sensor readings, millisecond response times
- Yours to keep - Standard Parquet format, query with any tool
- Simple to operate - Docker/Kubernetes, runs at the edge or in the cloud
Arc started because we spent years running time-series infrastructure for demanding industrial workloads - environmental monitoring, fleet tracking, clinical IoT - and kept hitting the same problems: databases that couldn't scale, proprietary formats that locked data in, and poor SQL support.
We're building the database we wish existed for industrial IoT.
Built by Basekick Labs. Founded by Ignacio, ex-InfluxData.
Ready to handle billion-record sensor workloads?
Self-hosted (Free)
docker run -d -p 8000:8000 \
-e STORAGE_BACKEND=local \
-v arc-data:/app/data \
ghcr.io/basekick-labs/arc:latest