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Lakekeeper: A Rust native Iceberg REST Catalog
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munabedan/lakekeeper
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Please visithttps://docs.lakekeeper.io for Documentation!
This is Lakekeeper: An Apache-Licensed,secure,fast andeasy to use implementation of theApache Iceberg REST Catalog specification based onapache/iceberg-rust. If you have questions, feature requests or just want a chat, we are hanging around inDiscord!
A Docker Container is available onquay.io.We have prepared a minimal docker-compose file to demonstrate how to use the Lakekeeper catalog with common query engines.
git clone https://github.com/lakekeeper/lakekeeper.gitcd lakekeeper/examples/minimaldocker compose up
Then open your browser and head to localhost:8888 to load the example Jupyter notebooks or head to localhost:8181 for the Lakekeeper UI.
For more information on deployment, please check theGetting Started Guide.
The Iceberg Catalog REST interface has become the standard for catalogs in open Lakehouses. It natively enables multi-table commits, server-side deconflicting and much more. It is figuratively the (TIP) of the Iceberg.
- Written in Rust: Single all-in-one binary - no JVM or Python env required.
- Storage Access Management: Lakekeeper secures access to your data using Vended-Credentials and remote signing for S3. All major Hyperscalers (AWS, Azure, GCP) as well as on-premise deployments with S3 are supported.
- Openid Provider Integration: Use your own identity provider for authentication, just set
LAKEKEEPER__OPENID_PROVIDER_URI
and you are good to go. - Native Kubernetes Integration: Use our helm chart to easily deploy high available setups and natively authenticate kubernetes service accounts with Lakekeeper. Kubernetes and OpenID authentication can be used simultaneously. AKubernetes Operator is currently in development.
- Change Events: Built-in support to emit change events (CloudEvents), which enables you to react to any change that happen to your tables.
- Change Approval: Changes can also be prohibited by external systems. This can be used to prohibit changes to tables that would invalidate Data Contracts, Quality SLOs etc. Simply integrate with your own change approval via our
ContractVerification
trait. - Multi-Tenant capable: A single deployment of Lakekeeper can serve multiple projects - all with a single entrypoint. Each project itself supports multiple Warehouses to which compute engines can connect.
- Customizable: Lakekeeper is meant to be extended. We expose the Database implementation (
Catalog
),SecretsStore
,Authorizer
, Events (CloudEventBackend
) andContractVerification
as interfaces (Traits). This allows you to tap into any access management system of your company or stream change events to any system you like - simply by implementing a handful methods. - Well-Tested: Integration-tested with
spark
,pyiceberg
,trino
andstarrocks
. - High Available & Horizontally Scalable: There is no local state - the catalog can be scaled horizontally easily.
- Fine Grained Access (FGA): Lakekeeper's default Authorization system leveragesOpenFGA. If your company already has a different system in place, you can integrate with it by implementing a handful of methods in the
Authorizer
trait.
If you are missing something, we would love to hear about it in aGithub Issue.
Details on how to configure the storage profiles can be found in theDocs.
Backend | Status | Comment |
---|---|---|
Postgres | >=15 | |
MongoDB |
Backend | Status | Comment |
---|---|---|
Postgres | ||
kv2 (hcp-vault) | userpass auth |
Backend | Status | Comment |
---|---|---|
Nats | ||
Kafka | Available in branch already, we are currently struggling with cross-compilation. |
Operation | Status | Description |
---|---|---|
Warehouse Management | Create / Update / Delete a Warehouse | |
AuthZ | Manage access to warehouses, namespaces and tables | |
More to come! |
Licensed under theApache License, Version 2.0