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Databricks¶

Databricks is a managed lakehouse / data-+-AI platform combining Delta Lake storage, Spark compute, SQL, ML, and governance (Unity Catalog) into one multi-cloud substrate.

Stub page. Databricks' own engineering blog is covered under companies/databricks and drills into substantially deeper internals (DICER auto-sharder, intelligent K8s load balancing, Lakebase Postgres CMK, Mercedes-Benz cross-cloud data mesh, MLflow 3 judges, Storex AI-agent database debugger, etc.). This page exists because Databricks is named in the Santander Catalyst post as an integration target.

Seen in¶

sources/2026-02-26-aws-santander-catalyst-platform-engineering — Santander's modern data platform workload on Catalyst includes "built-in integration with Databricks" alongside data lakes, automated ETL, centralized data catalog, and segregated experimentation environments; the net effect is ~3,000 monthly data-experimentation provisioning tickets eliminated.
(Many more via companies/databricks.)

companies/databricks — Databricks' own engineering blog as a primary source of architectural content
systems/unity-catalog, systems/delta-lake, systems/mlflow, systems/lakebase — named Databricks systems across other ingested sources

Databricks¶

Seen in¶

Related¶