Overview:  Choosing between Hadoop, Spark, and Databricks can define your data strategy success in 2026.Each tool serves a unique purpose from storage to r ...

Automation in Databricks is transforming how data teams build, deploy, and maintain pipelines. From CI/CD best practices to AI-driven orchestration, modern tools are cutting manual work and boosting ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

The new connectors for Salesforce and Workday applications, part of the company’s Lakeflow system, will automate and accelerate the development tasks needed to pull operational data into the ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Agentic AI requires a whole new type of architecture; traditional workflows create serious gridlock, dragging down speed and performance. Databricks is signaling its intent to get ahead in this next ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...