Run production-grade SQL anywhere — fast, scalable, self-hosted, and best of all, forever free.
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Blazing-fast queries over large, complex datasets.
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Run Firebolt Core on multiple
nodes that work together on
a single query.
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Install via Docker. Query via CLI. Fully local and frictionless.
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Use in production with
no cost or usage limits.
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Runs in any environment from your laptop to VPC on prem or alongside your existing cloud infrastructure.
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Built for developers. Ready for real, scalable, AI-powered applications.
1curl -s "http://localhost:3473" --data-binary "
2 SELECT 42
3"1# List objects in a public S3 bucket
2curl -s "http://localhost:3473" --data-binary "
3 SELECT *
4 FROM list_objects('s3://firebolt-core-us-east-1/test_data/tpch/parquet/')
5 ORDER BY object_name;
6"1# Read an Iceberg table from a public GCS bucket
2curl -s "http://localhost:3473" --data-binary "
3 SELECT *
4 FROM read_iceberg('gs://firebolt-core-us-east-1/test_data/tpch/iceberg/tpch.db/lineitem')
5 LIMIT 10
6"These examples highlight common workflows in Firebolt Core — from querying simple select, list objects, or read Iceberg tables, and more.
Firebolt Core is a self-hosted version of the Firebolt query engine, designed for developers who want speed, control, and flexibility. It’s free to use, easy to deploy via Docker, and can run wherever you want — whether that’s on a laptop or in your cloud environment.
Run sub-second SQL queries locally or in your infrastructure, scan Iceberg or Parquet data, and prototype AI pipelines, analytics apps, or embedded workloads — all without relying on managed services or cloud-specific tooling.
You can run Firebolt Core via Docker in seconds. Just pull the image, start the container, and you’re ready to send SQL queries from Firebolt Core’s CLI.
Yes. Firebolt Core is free for commercial and non-commercial use, with no usage caps. You can deploy it in production without paying anything!
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