Two years after Cloudflare introduced Python Workers as a beta, the company declared them generally available, saying Python is now "a first-class, ...

Every organization running both Snowflake and Databricks eventually hits the same argument: which platform gets to own this ...

Whether you're building real-time streaming pipelines or deploying production generative AI applications, this guide breaks ...

OpenAI's new Data agent for ChatGPT Work has no published benchmark, while rival Databricks released one the same week — a ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier model quality in half the time.

Databricks' KARL agent matches Claude Opus 4.6 accuracy with 33% lower cost and 47% less latency by learning to stop searching when it has enough ...

This repository contains resources for an end-to-end proof of concept which illustrates how an MLFlow model can be trained on Azure Databricks, packaged as a web service, deployed to Kubernetes via CI ...

A modern web application for viewing and managing SharePoint data ingested into Databricks Unity Catalog via Lakeflow connectors. Built with FastAPI backend and a beautiful single-page ...

Build full-stack data apps with Databricks Apps and Lakebase without managing servers or containers. Keep data fresh automatically with Lakebase synced tables that replicate Unity Catalog data in ...