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AetherLake vs Databricks Notebooks

AetherLake

github.com

Databricks Notebooks

databricks.com

Side by side

FigureAetherLakeDatabricks Notebooks
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Android—Yes
API—Yes
Self-hostedYes—
Plans published211
Spec score · Data Lakehouse Platforms8.6 (#3)9.2 (#1)

Plans

AetherLake

  • Internal, evaluation, and non-commercial useFree
  • Commercial licensePriced on request

AetherLake pricing →

Databricks Notebooks

  • Free EditionFree
  • Pay as you goPrice not published
  • Pay as you goPriced on request
  • Committed Use ContractsPrice not published
  • Committed Use ContractsPriced on request
  • Free EditionFree
  • Free trialFree
  • Artificial Intelligence$0.07 a month
  • Data Engineering$0.15 a month
  • Data Warehousing$0.22 a month

Databricks Notebooks pricing →

In their own words

AetherLake

AetherLake is a Kubernetes-native data lakehouse that brings storage, catalog, federated SQL, streaming, orchestration, BI, and identity into a web control panel. Its stack includes MinIO, Trino, Apache Polaris, Kafka, Flink, dbt, Airflow, Superset, Spark, Milvus, Prometheus, Grafana, PostgreSQL, and Keycloak. The panel shows pod health and resource use, supports service restarts, and provides workspaces for dbt, Kafka, Flink SQL, Trino queries, and Iceberg catalogs. Kafka and Flink are enabled by default; project examples describe streaming Kafka data into Iceberg tables and querying topics through Trino. Keycloak supplies OIDC single sign-on across services, with data-admin, data-scientist, and data-engineer roles. Deployment prerequisites include Kubernetes, Helm 3.12 or later, kubectl, Docker, and an NGINX ingress controller. Deployment materials cover AWS, Azure, and Google Cloud. An MCP server gives AI assistants access to platform status, logs and restarts, Trino queries, Polaris catalogs, and Airflow DAGs. The control panel is bilingual in English and Turkish. Internal, evaluation, development, testing, and non-commercial use is free; commercial use requires a separate license.

Visit github.com

Databricks Notebooks

Databricks Notebooks has no write-up on Specifiction yet; its figures are above.

Visit databricks.com