Databricks
Unified data and AI platform combining data lakehouse, MLflow, and AI/BI tools for building and deploying AI at scale.
What is Databricks?
Databricks is a unified data analytics and AI platform that combines data engineering, data science, and business analytics in a single lakehouse architecture. It provides AI/BI dashboards with natural language queries, MLflow for model management, and vector search for RAG applications. Used by over 10,000 organizations including 60% of the Fortune 500.
Best for: Enterprise data teams · ML/AI engineering at scale · Data lakehouse architecture
Developer Stack Fit
Quick read on where Databricks fits in a software team's AI stack. Validate final fit against your codebase, data policy, and deployment model.
- Stack layer
- Secondary/general AI
- Deployment model
- Cloud SaaS
- Open-source status
- Not confirmed
- API support
- Not a primary API tool
- MCP support
- No MCP signal found
- Security posture
- Review vendor privacy and data retention
- Best use case
- Enterprise data teams
Key Features
- 01
Unified lakehouse architecture for all data workloads
Lakehouse architecture for unified data + AI
- 02
AI/BI dashboards with natural language Genie queries
AI/BI Genie natural language queries
- 03
MLflow for experiment tracking and model management
MLflow model management
- 04
Vector search for RAG and AI applications
A core data-analytics capability that teams use daily.
- 05
Delta Lake for reliable data pipelines
A core data-analytics capability that teams use daily.
- 06
Unity Catalog for unified data governance
A core data-analytics capability that teams use daily.
- 07
Serverless compute for auto-scaling workloads
A core data-analytics capability that teams use daily.
- 08
Native support for Python, SQL, Scala, and R
A core data-analytics capability that teams use daily.
Pros & Cons
What stands out
- Unified platform for data and AI workloads
- Lakehouse architecture simplifies data management
- MLflow for model lifecycle management
- AI/BI Genie for natural language queries
- Trusted by 60% of Fortune 500
Watch outs
- Usage-based pricing can escalate quickly
- Requires significant data engineering expertise
- Complex setup for organizations new to Spark
- Not ideal for small data projects
Pricing Plans
Databricks Pricing
Choose the perfect plan for your needs. All plans include our core features with different usage limits and advanced capabilities.
Standard
Premium
Enterprise
Need a Custom Solution?
Looking for enterprise features or custom pricing? Contact Databricks directly for tailored solutions.
Contact SalesMost teams land on the Premium plan.
Alternatives
FAQ
What is Databricks and how does it work?
Databricks is a data-analytics tool that unified data and ai platform combining data lakehouse, mlflow, and ai/bi tools for building and deploying ai at scale.. It uses AI to help users improve productivity through analyzing input and generating relevant output.
How much does Databricks cost?
Databricks starts at $0.07/month. They offer a free trial so you can test it before committing.
Does Databricks have a free trial?
Yes — 14-day free trial
What can Databricks do?
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Databricks
From $0.07/month