Databricks
Unified data and AI platform with lakehouse architecture collaborative notebooks SQL warehouse ML runtime and governance built for scalable analytics and production AI.
Overview
Databricks combines data engineering analytics and machine learning on a single lakehouse so teams avoid copying data between systems. Elastic compute layers support streaming ingestion, batch ETL, SQL exploration, BI dashboards, and training at massive scale, all governed by catalogs and row level controls. Notebooks accelerate exploration with Python, SQL, and Scala, while SQL Warehouses serve dashboards at low latency.
MLflow and feature tooling help standardize experiment tracking, model packaging, and offline or real time inference. Vector search and retrieval options support modern RAG applications on enterprise content. Orchestrations run as jobs on schedules with alerting, and Unity Catalog centralizes lineage for audits.
Pricing is usage based in DBUs with pay as you go and committed options by cloud provider and region. Enterprises adopt Databricks to simplify stacks, replace brittle pipelines, and deploy production AI next to governed data. With connectors to major data lakes, event buses, and visualization tools, the platform is a home for end to end data products under one control plane.
Key features
- Lakehouse storage and compute that unifies batch streaming BI and ML on open formats for cost and portability across clouds
- Collaborative notebooks and repos that let data and ML teams build together with version control alerts and CI friendly patterns
- SQL Warehouses that power dashboards and ad hoc analysis with elastic clusters and fine grained governance via catalogs
- MLflow native integration for experiment tracking packaging registry and deployment that works across jobs and services
- Vector search and RAG building blocks that bring enterprise content into assistants under governance and observability
- Jobs and workflows that schedule pipelines with retries alerts and asset lineage visible in Unity Catalog for audits
Best for
- Build governed data products that serve BI dashboards and ML models without copying data across silos
- Modernize ETL by shifting to Delta pipelines that handle streaming and batch with fewer moving parts and clearer lineage
- Deploy RAG assistants that search governed documents with vector indexes and access controls for safe retrieval
- Scale experimentation with MLflow so teams compare runs promote models and enable reproducible releases
- Consolidate legacy warehouses and data science clusters to reduce cost and drift while improving security posture
- Serve predictive features to apps using online stores that sync from batch and streaming pipelines under catalog control
- Power real time analytics by joining streams with historical data for operations and customer experiences
- Meet audit needs by tracing datasets models and dashboards through Unity Catalog with roles and row level policies
Capabilities
Delta Pipelines
Handle streaming and batch with resilient Delta pipelines that lower ops toil and give you reliable tables for analytics and ML.
SQL Warehouses
Serve dashboards and ad hoc analysis with elastic compute catalogs lineage and predictable performance at scale.
MLflow and Features
Track experiments package models and ship online or batch inference with governance and reproducibility across teams.
Vector and RAG
Index enterprise content and enable assistants to answer with governed context and observability for safe usage.
Frequently Asked Questions
How does pricing start?
Databricks is billed by DBUs on pay as you go or committed terms, contact sales for cloud and region specific rates and discounts.
Can I use my existing lake?
Yes, open formats and connectors work with major object stores so you avoid expensive copies.
Do you support BI and ML together?
The lakehouse architecture serves SQL and ML on the same data which reduces duplication and governance gaps.
How do we manage governance?
Unity Catalog centralizes lineage roles policies and auditing for datasets notebooks models and dashboards.
Is there a free trial?
Trials and community editions are available, check the signup page for your region and cloud provider.
