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Databricks

VerifiedAgencyAvailable

Data Intelligence & AI Platform Engineering

“The foundational data and AI platform behind the world's most ambitious enterprise AI deployments”

San Francisco, North America, United States12+ years experience
WebsiteLinkedInGitHub
6 Services
Team of 9000

About

Databricks is the data and AI company founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. Headquartered in San Francisco with approximately 9,000 employees, Databricks developed the industry's first unified Data Intelligence Platform combining data warehousing, data lakes, and AI/ML workflows. The company pioneered the data lakehouse architecture. With $2.6B in 2024 revenue and a $43B+ valuation, Databricks has become the central infrastructure layer for enterprise AI. Over 300 Fortune 500 companies use Databricks to build and deploy AI models. Its open-source contributions — Spark, Delta Lake, MLflow — are among the most widely adopted projects in the ecosystem.

OpenTools Verdict

Databricks isn't a traditional consultancy but a platform company with significant professional services. If your AI strategy needs a world-class data foundation, this is the infrastructure layer to build on.

Services

Data Lakehouse ArchitectureAI/ML Platform EngineeringMLOps & Model DeploymentGenAI & LLM IntegrationData Engineering & PipelinesProfessional Services & Training

Industries

TechnologyFinancial ServicesHealthcare & Life SciencesRetail & E-CommerceMedia & EntertainmentTelecommunications

Engagement Details

Typical Project Size
$50K - $2M+
Common Timeline
2-12 months
Best For Company Size
Enterprise (10,000+)Large Enterprise (1,000-10,000)Mid-Market (500-1,000)
Engagement Models
Platform License + Professional ServicesTime & MaterialsManaged Services
Project Types
Data Platform Migration to LakehouseML Pipeline EngineeringGenAI Application BuildMLOps SetupData Intelligence Platform Deployment
Languages
English, Spanish, French, German, Japanese

Categories

RAG Architecture, Model Benchmarking & Hallucination ControlsInference, Edge & Developer ToolsEmbedding, Knowledge & Opportunity Assessment

Recommended For

  • Organizations needing a modern data foundation for AI
  • Enterprises building ML pipelines at scale
  • Companies wanting to consolidate data and AI on one platform

Not a Fit For

  • Companies not ready for platform-level investment
  • Simple AI projects without data engineering needs
  • Organizations wanting pure strategy consulting

Example Outcomes

  • 300+ Fortune 500 companies on the platform
  • Created Apache Spark, Delta Lake, and MLflow
  • $2.6B revenue with 9,000+ employees