Compare Databricks Paid and Free Edition

Here’s a clear, updated comparison of Databricks Paid Edition vs. Free Edition (2025):


Databricks Paid Edition vs. Free Edition

Feature / AspectFree EditionPaid Edition
CostFreeBilled (pay-as-you-go or subscription)
Cluster SizeSmall, limited resourcesScalable clusters, large instance types, autoscaling
Session LimitsLimited (e.g., timeouts, max sessions)Unlimited/longer session time
Users/CollaborationSingle userMulti-user, team collaboration, role-based access
Data StorageLimited storage (quota, file size)Full cloud storage (S3, ADLS, GCS)
Compute TypesLimited compute optionsAll compute types (standard, high memory, GPU, etc.)
WorkspacesOne per userMultiple, with granular access control
SQL WarehousesLimited or not availableFull SQL warehouses (Classic, Pro, Serverless)
Unity CatalogNot availableFull data governance (Unity Catalog)
Delta LakeBasic (for learning)Full features, ACID, time travel, advanced options
Delta Live TablesNot availableYes, for production ETL pipelines
Mosaic AI/LLMNot available or restrictedYes, for GenAI and LLM workflows
Machine LearningBasic supportFull ML/AI platform (MLflow, AutoML, Model Serving)
Jobs & OrchestrationLimited or not availableFull jobs, scheduling, orchestration (Workflows)
External IntegrationsMinimalFull (Power BI, Tableau, REST API, Git, etc.)
Data SharingNot availableYes (Delta Sharing, cross-org/data mesh)
Security & GovernanceBasicEnterprise RBAC, audit, SSO, fine-grained control
SupportCommunity onlyProfessional support, SLAs
Production SLAsNoYes

In Short:

  • Free Edition:
    • Great for learning, testing, and demos.
    • Single-user, small resources, limited features.
    • No production use, advanced security, or team collaboration.
  • Paid Edition:
    • Full-featured, production-ready.
    • Scalable compute, enterprise governance, collaboration, ML/AI, automation, security, support.
    • Suitable for business-critical and large-scale workloads.

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