Databases have powered software for decades, but their underlying architecture hasn’t kept pace with modern application needs—especially in the era of AI and rapid development. Lakebase introduces a new approach by separating compute from storage an...
Earlier this week, Databricks shared a deep dive into Lakebase Postgres database branching, a “Git‑style” way to work with your databases, meaning you can now create instant, isolated Postgres environments in seconds, without copying all the data or ...
Hi everyone,I recently started exploring Lakebase on Databricks, and I wanted to share a few thoughts from my early experience.What I like most so far is how it simplifies things. Instead of dealing with multiple tools for storage, processing, and AI...
@Brahmareddy Good to hear, definitely going to try now.
Developers want to write code, not provision databases. Learn how to create and deploy apps directly on the Databricks Platform. Join us on May 5-7. In this webinar, code comes first. Watch experts from Databricks and Cursor demonstrate how to get ...
Software development is shifting from a slow, linear process to a rapid, evolutionary one driven by AI agents. Instead of building a single application over time, developers and agents now generate, test, and iterate on multiple versions in parallel...
Databases have powered software for decades, but their underlying architecture hasn’t kept pace with modern application needs—especially in the era of AI and rapid development. Lakebase introduces a new approach by separating compute from storage an...
One of the most interesting shifts in the Databricks ecosystem is Lakebase.For years, data architectures have enforced clear boundaries:OLTP → Operational databasesOLAP → Analytical platformsETL → Bridging the gapWhile familiar, this model often crea...
Exactly. As I'm sure you are aware there is already a great "sync" from Delta -> Postgres but coming soon is gonna be a seamless way to do the opposite (Yes, even simpler than the version of this that was in private preview). If I had a moving visual...
Delivering Lakehouse insights into external operational applications has been a headache for low latency cases. This often required complex & brittle integrations. With Databricks Lakebase Synced Tables, a native solution for Reverse ETL bridges the ...
We spent the last decade building a wall in the middle of the data stack. Data Lakehouse on one side - massive, powerful & analytical. The Operational Database on the other - fast, transactional, and vital for apps. The separation created a “last mil...
Nice article @balajij8!In fact, I’m facing a similar “last-mile” problem in my organization, where predictions flow from Event Hub into an OLTP database.This introduces multiple points of failure, adds latency, and increases maintenance overhead. Lak...
I am still amazed by Lakebase and all the possible use cases that we can achieve. Integration of Lakebase with Lakehouse is the innovation of the year. Please read my blog posts to see why it is the best of two worlds. #databricks Read here:- https:/...
