Databricks
Databricks offers a unified platform for data, analytics and AI.
At a glance
Databricks is a coding tool that offers a unified platform for data, analytics and AI.
- Pricing: Unknown
- Category: Coding
- API: yes
- Open source: no
- Status: Online · last verified
- Page updated:
What is Databricks?
Description: extracted from the tool's own website · reviewed by admin
Frequently asked questions about Databricks
What is Databricks?
Databricks is a coding tool that offers a unified platform for data, analytics and AI.
Is Databricks free?
The pricing of Databricks could not be determined automatically; please check the provider's website.
Does Databricks have an API?
Yes. Databricks offers an API or developer documentation for integrations.
Is Databricks still online?
Yes. anyai.fyi last verified databricks.com on 2026-11-10, and it was online.
What are alternatives to Databricks?
Alternatives to Databricks are other Coding tools with a similar purpose. The list below is sorted by similarity in meaning.
Agent Skills for Databricks
All skills →Skills that teach Claude, Codex or Cursor how to work with Databricks.
Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve …
Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing …
Databricks Sandbox: on-demand serverless compute for running untrusted or agent-generated code and background tasks. Create/start/stop/delete sandboxes, run commands (synchronous execute_command_sync in all SDKs; streaming execute_command in the Python SDK only), and manage …
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL, including Auto CDC from event streams or periodic complete …
MLflow GenAI evaluation and agent improvement on Databricks. Use when running mlflow.genai.evaluate(), building scorers or datasets, aligning judges with MemAlign, optimizing prompts, or monitoring production quality.
Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions …
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC …
What are alternatives to Databricks?
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