Compare Azure Synapse and Databricks for your data needs. Explore features, performance, and use cases to make an informed decision.

For those needing robust ELT, data science, and machine learning features within a data lake/data warehouse framework, Databricks is the winner. Azure ML wins for those just wanting to add ML to ...

Databricks and Microsoft deepen Azure partnership to deliver unified data and AI tools for enterprise innovation.

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP.

Data and AI solution provider Databricks has extended its multi-year partnership with Microsoft to help their shared ...

Databricks said the free offering automates up to 80% of the migration lifecycle and can be used as part of a strategy to modernize analytics and AI infrastructure. The company said demand is surging ...

The company expanded its Microsoft Azure AI integrations and deployed Google’s Gemini models as it continued to forge agentic ...

Azure AI Foundry agents can now execute Databricks jobs and use Databricks’ AI/BI Genie conversational interface for data retrieval and contextual response generation. Photo: Unsplash ...

Databricks, on the other hand, is designed to be a scalable, relatively easy-to-use data science platform for people who already know statistics and can do at least a little programming.

“Azure offers an array of platform integrations, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, that effortlessly integrate with Data Explorer,” Karamcheti said.