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Databricks

Data and AI platform for the AI agent era

Consider with caveatsMCPAPISOC 2
Jack Phillips
Audited by Jack Phillips · Updated May 2026
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Overall score

3.5/ 5
SME fit2/5
usage-metered pricing + free trial · technical setup
JTBD4/5
solid named JTBD
Integration5/5
MCP + API + 10 integrations
Trust5/5
mature, founded 2013
Quality1/5
no public rating
Compliance5/5
SOC 2 + GDPR + customer-choice residency

About

Databricks is the unified data + AI platform spanning data warehousing, ML, and generative AI. The product line includes Lakehouse, Unity Catalog, MLflow, Mosaic AI (post the $1.3B MosaicML acquisition), Genie (data-aware AI partner) and Agent Bricks for production AI agents. Founded 2013 as the commercial company behind Apache Spark; repositioned AI-first under co-founder Ali Ghodsi as enterprise customers shifted to LLM workloads.

Best for: Series A and growth-stage data and engineering teams running real workloads on AWS, Azure or GCP who need data warehousing, ML and AI agents on the same governed platform.

Pricing

  • Free Trial

    Monthly
    Free
    Annual /mo
    Free
    Billing
    flat
    Notes
    14-day trial;$400 in Databricks usage credits;Access to all platform features · No credit card required for trial signup
  • Premium

    Monthly
    n/a
    Annual /mo
    n/a
    Billing
    usage_based
    Notes
    Pay per second DBU billing;Unity Catalog;Databricks SQL Workspace;Enhanced security features;Multi-cloud (AWS, Azure, GCP) · DBU rate varies by cloud provider and workload type; consult the Databricks pricing calculator for estimates
  • Enterprise

    Monthly
    n/a
    Annual /mo
    n/a
    Billing
    usage_based
    Notes
    Everything in Premium;Compliance and audit features;Advanced governance;Enterprise-grade security;Committed-use volume discounts · Contact sales for committed-use discounts; SOC 2 Type II report available on request

Key features

  • Lakehouse: serverless data warehousing on open lake data with governance and AI built-in
  • Unity Catalog: governance across data, models, dashboards and agents
  • Mosaic AI: train and serve LLMs on your own data (post-MosaicML acquisition)
  • Genie: data-aware AI partner for natural-language insights
  • Agent Bricks: build production AI agents grounded in your data
  • MLflow: experiment tracking, model versioning and deployment
  • Native MCP servers for Vector Search, Genie Spaces, Databricks SQL and Unity Catalog
  • Pay-per-second DBU billing across AWS, Azure and GCP

Integrations

AWSAzureGoogle CloudSlackSnowflakedbtTableauPower BISalesforceHubSpot

Trust & compliance

Stage range
Series A → Growth
Founded
2013
Status
active
SOC 2
yes
GDPR
yes
Data residency
customer_choice
External rating
n/a
Last verified
May 2026

Reviews

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