VG
VENTUREGAPS
D

Databricks

PAID

Unified analytics platform for data engineering, science, and machine learning

Build and deploy ML models at scale with managed infrastructure and collaboration

VG SCORE
9.5
CLOUD (SAAS)

Product Details

CompanyDatabricks
HeadquartersSan Francisco, California, USA
Founded2013
PricingPaid
DeploymentCloud (SaaS)
Learning CurveModerate

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PROS & CONS

STRENGTHS

  • Unified platform for data engineering, analytics, and machine learning, simplifying complex workflows and team collaboration.
  • Native integration with Apache Spark provides high-performance, scalable data processing for large datasets and complex computations.
  • Managed cloud infrastructure handles cluster provisioning and maintenance, reducing operational overhead for data teams.

WEAKNESSES

  • Pricing can be high and complex, with costs for compute, storage, and DBUs making budgeting and forecasting challenging.
  • Platform is heavily optimized for its own ecosystem, which can create some vendor lock-in and reduce portability of workloads.

TECHNICAL DETAILS

LEARNING CURVE
MODERATE — FEW HOURS

FIELD REPORTS (0)

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DOSSIER

COMPANY
Databricks
HQ
San Francisco, California, USA
FOUNDED
2013
LAST VERIFIED MAR 27, 2026

FILED UNDER

PRICING MODEL

FINAL ASSESSMENT

APPROVED — WORTH YOUR MONEY