Introducing Lakehouse Apps
Lakehouse Apps is a new way to build native applications for Databricks. Lakehouse Apps will offer the most secure way to build, distribute...
Lakehouse Orchestration with Databricks Workflows
Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving...
Extending Databricks Unity Catalog with an Open Apache Hive Metastore API
Today, we are excited to announce the preview of a Hive Metastore (HMS) interface for Databricks Unity Catalog , which allows any software...
Easy Ingestion to Lakehouse with File Upload and Add Data UI
Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of...
Using Structured Streaming with Delta Sharing in Unity Catalog
We are excited to announce that support for using Structured Streaming with Delta Sharing is now generally available (GA) in Azure, AWS, and...
Find what you seek with the new navigation UI
We are excited to announce that we will be releasing a new UI that will make it easier for you to navigate Databricks...
Acceleration Unlocked: DS3_v2 Instance Types on Azure now supported by Photon
At Databricks, we offer maximal flexibility for choosing compute for ETL and ML/AI workloads. Staying true to the theme of flexibility, we announce...
Announcing the General Availability of Predictive I/O for Reads
Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL) : a machine learning powered feature...
Announcing the Public Preview of Predictive I/O for Updates
Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without...
Launching a New Files Experience for the Databricks Workspace
Today, we are excited to announce the general availability of files throughout the Databricks workspace. Files support allows Databricks users to store Python...