GrowlerDB

An open-source retrieval engine for full-text, vector, and hybrid search over your Apache Iceberg data. GrowlerDB keeps a fast, derived index locally and returns matching (cached) fields and primary keys (coordinates). The data lake remains your single source of truth.

Get started View on GitHub


The cycle

GrowlerDB operates on a three-step cycle:

  1. Index: Point GrowlerDB at an Apache Iceberg table. A connector streams table changes to build a local index.
  2. Search: Run lexical, semantic, or hybrid queries against the index. The query returns documents including cached fields, primary key coordinates, and scores.
  3. Hydrate: Fetch the full, authoritative rows from your Iceberg catalog using the returned coordinates.

Traditional search engines store a complete, separate copy of your documents. GrowlerDB stores only what is needed to search, using primary keys to bridge the index and the data lake. With cached fields, GrowlerDB can serve paginated result lists on its own.

Retrieval options

When retrieving results, you can choose from three paths depending on your latency and data needs:

  • Search - Cached fields: You can configure the index to store specific columns. These values return with the search hits immediately, requiring no Iceberg lookups.
  • Search - Inline hydration: You can request inline hydration by setting hydrate: true in your search body. The engine collapses the search and lookup steps, returning the authoritative row directly in the search response.
  • Get - Full record: For the authoritative details, your client fetches the full row by key using POST /v1/keys:get. This is typically used when a user opens a specific document.

Choose your path

Pick the path for your role:


Open source & commercial

GrowlerDB is open source under AGPL-3.0, free for self-hosted production use up to 3 nodes. Need more nodes, support with an SLA, or to embed GrowlerDB in a closed product? See License & support.


GrowlerDB — AGPL-3.0. Search returns coordinates; rows hydrate from Iceberg.

This site uses Just the Docs, a documentation theme for Jekyll.