Railway

Deploy Lakekeeper Iceberg catalog

Apache Iceberg REST catalog with PostgreSQL and Railway Bucket.

Deploy Lakekeeper Iceberg catalog

Just deployed

Lakekeeper PostgreSQL

postgres:17-alpine

Just deployed

/var/lib/postgresql/data

Lakekeeper Gateway

caddy:2.10-alpine

Just deployed

Lakekeeper Warehouse

Bucket

Just deployed

Deploy and Host Lakekeeper on Railway

Lakekeeper provides a vendor-neutral Apache Iceberg REST catalog with a browser UI and management API. This template adds persistent PostgreSQL metadata, Railway Bucket warehouse storage, and a generated Basic Auth gateway.

About Hosting Lakekeeper

The catalog and database stay private while Railway exposes only the authenticated Caddy gateway. The deployment starts by applying Lakekeeper's PostgreSQL migrations, then serves the UI, management API, and Iceberg REST protocol on one private listener.

Why Deploy Lakekeeper on Railway

Railway provisions the catalog, database volume, S3-compatible Bucket, private networking, public TLS, and generated credentials together. You still explicitly bootstrap Lakekeeper and create the first warehouse, so acceptance and storage configuration remain visible choices.

Common Use Cases

  • Give Spark, PyIceberg, Trino, or Flink a shared Iceberg REST catalog.
  • Evaluate Iceberg table workflows without operating a separate catalog database and object store.
  • Host a trusted small-team data catalog behind one shared gateway credential.

Dependencies for Lakekeeper Hosting

Deployment Dependencies

  • Lakekeeper 0.13.1
  • PostgreSQL 17
  • Caddy 2.10
  • Railway Bucket with S3-compatible access

Template Content

Lakekeeper PostgreSQL

postgres:17-alpine

Lakekeeper Gateway

caddy:2.10-alpine

Lakekeeper Warehouse

Bucket

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