For years, the Lakehouse paradigm has successfully collapsed the wall between Data Warehouses and Data Lakes. We have unified streaming and batch, structured and unstructured data, all under one roof. Yet we often find ourselves hitting a familiar, frustrating wall: the gap between the analytical plane (OLAP) and the transactional plane (OLTP). In my latest […]
Posts Tagged ‘LakeBase’
Databricks Lakebase – Database Branching in Action
What is Databricks Lakebase? Databricks Lakebase is a Postgres OLTP engine, integrated into Databricks Data Intelligence Platform. A database instance is a compute type that provides fully managed storage and compute resources for a postgres database. Lakebase leverages an architecture that separates compute and storage, which allows independent scaling while supporting low latency (<10ms) and […]
Exploring Lakebase: Databricks’ Next-Gen AI-Native OLTP Database
Lakebase is Databricks‘ OLTP database and the latest member of its ML/AI offering. Databricks has incorporated various components to support its AI platform, including data components. The Feature Store has been available for some time as a governed, centralized repository that manages machine learning features throughout their lifecycle. Mosaic AI Vector Search is a vector […]