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Databricks
PAIDUnified analytics platform for data engineering, science, and machine learning
► Build and deploy ML models at scale with managed infrastructure and collaboration
VG SCORE9.5
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 HOURSFIELD REPORTS (0)
No field reports yet. Be the first to review Databricks.
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
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