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Managed Databricks lakehouse for analytics and AI on Azure
Updated
Azure Databricks is a managed service on Microsoft Azure that provides the Databricks platform for open data lakehouses. Teams use it for data engineering, analytics, machine learning and AI on a single platform integrated with Azure storage, identity and security services.
Data engineers, data scientists and analysts at organizations on Azure use Azure Databricks to build pipelines, run analytics and train models. It suits enterprises that want a unified lakehouse platform integrated with Microsoft services.
Azure Databricks uses usage-based pricing, billed for Databricks units consumed along with the underlying Azure compute and storage, and rates vary by workload type and region. Use the Azure pricing page and calculator to estimate costs.
Common alternatives to Azure Databricks include Snowflake, Google BigQuery and Amazon EMR. Compare scope, deployment model, integrations and pricing before choosing.
Pricing Model
USAGE BASED
Starting Price
Contact vendor
Free Options
Free trial
API Types
SDK Availability
Verify SDK availability in vendor's documentation.
Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Visual analytics and business intelligence platform
Governed BI and data platform on Google Cloud with a semantic layer
Collaborative analytics combining SQL, Python, R, and BI
Business intelligence and data visualization in the Microsoft ecosystem
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