# Databricks introduces Lakebase, a serverless Postgres database for app and agent workloads

> Original title: You ship code in seconds and build apps, agents, and AI products faster than ever. So why does your database still take hours to provision?

- Source: Databricks
- Published: 2026-11-07T19:59:04.000Z
- Bad Influence: https://badinfluence.news/items/ukimeclvqa1suakpvg17xnor1
- Original: https://x.com/databricks/status/2119157709341610265

## Summary

Databricks describes Lakebase as a serverless Postgres database with instant branching and separate compute and storage, designed to scale with app and agent workloads. The post promotes an ebook on why traditional databases struggle with these workloads and how Lakebase fits alongside the Databricks lakehouse.

## Post

You ship code in seconds and build apps, agents, and AI products faster than ever. So why does your database still take hours to provision?

Lakebase is a new category of serverless Postgres database built for the way teams write software today, with instant branching, separate compute and storage, and architecture designed to scale with app and agent workloads.

Read 𝘓𝘢𝘬𝘦𝘣𝘢𝘴𝘦 𝘍𝘰𝘳 𝘋𝘶𝘮𝘮𝘪𝘦𝘴 to learn:
• Why traditional databases break down under modern app and agent workloads
• How separating compute from storage changes cost, speed, and reliability
• What instant branching and cloning unlock for development teams
• How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work

https://www.databricks.com/resources/ebook/lakebase-for-dummies?utm_source=twitter&utm_medium=organic-social&utm_scid=701Vp00000hueoRIAQ

![Cover of "Lakebase for Dummies," a Databricks publication. Features a cartoon character with glasses in front of yellow and black background circles. Text highlights topics: serverless Postgres, scaling agents and apps, and branching databases like code. Author: Stephanie Diamond.](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWjCsijWwAAanQx.jpg&mode=thumb&exp=1794268800&sig=3ec6edbf789b55f6)

![```markdown
Page from a book titled "The Evolution of a Data Lakehouse Architecture." The page includes Chapter 1: "Introducing Lakebase." Text discusses the role of AI in optimizing database queries and the transition to lakehouse systems. A sidebar lists section highlights. Page number 3 noted at the bottom.
```](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWjCsudW8AExnqs.png&mode=thumb&exp=1794268800&sig=2300879d2afde232)

![Page from "Lakehouse For Dummies, Databricks Special Edition," featuring text about data warehouses and lakehouses. It includes definitions, explanations of their evolution, and the benefits of unified analytics. Icons are present for emphasis.](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWjCs67X0AAdCJ4.png&mode=thumb&exp=1794268800&sig=c3cae8cb526c6f82)

![The image is a page from a book titled "Counting the True Cost of Staying Put," discussing the costs of maintaining static systems. It covers topics like the engineering time lost on maintenance and the increased costs due to faster competitors. The page highlights the importance of early cloud adopters in the business environment. It includes sections titled "Tallying the engineering time spent on plumbing" and "Losing ground to faster competitors." The bottom of the page displays "CHAPTER 1 Introducing Lakebase 11.](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHWjCtIgWkAE-F9-.png&mode=thumb&exp=1794268800&sig=973157b095eb57c0)