At the Data + AI Summit, Databricks unveiled new tools aimed at enhancing support for enterprises developing AI applications. Among these is Lakebase, a managed Postgres database designed for AI workloads, featuring continuous autoscaling, separation of compute and storage, and a unique branching capability for agent development. It aims to modernize operational databases, which are often outdated. Lakeflow Designer, a forthcoming no-code ETL tool, simplifies the creation of data pipelines with its drag-and-drop interface and AI assistant. Additionally, Agent Bricks allows users to quickly create AI agents tailored to enterprise needs without extensive manual tuning. Databricks also introduced Databricks One, enabling users to interact with data using natural language and AI dashboards. Enhanced support for Apache Iceberg tables and free educational resources were also announced, alongside the donation of the declarative ETL framework to the Apache Spark project. These innovations position Databricks as a leader in enterprise AI solutions.
Databricks Enhances AI App Development with New Tools: Introducing Lakebase, Lakeflow Designer, and Agent Bricks for Enterprises
