This blog explains how to build real-time product search systems using Databricks, covering the complete architecture from data ingestion to result ranking and refinement.
Lovable has launched a Databricks connector that enables any business user to build live applications on data stored in Databricks using plain English instead of SQL.
This post introduces memory scaling as a new design axis for AI agents, showing that performance improves as external memory grows.
TriNetX leverages Databricks' lakehouse architecture to power AI-driven analytics on real-world health data (RWD) from nearly 300 million patients, accelerating clinical drug development timelines.
This post introduces database branching in Databricks Lakebase Postgres as a copy-on-write primitive that enables Git-like isolated database environments for development workflows.
Agentic analytics is an approach where autonomous AI agents continuously monitor data streams, detect patterns and anomalies, and generate insights with minimal human intervention, triggering automated actions and recommendations.
Databricks releases Apache Iceberg v3 in Public Preview, introducing Row Lineage, Deletion Vectors, and VARIANT.
Zalando shares how they built a unified data foundation using the Databricks platform to address governance and metric consistency challenges at scale.
This post demonstrates how Databricks' unified Data Intelligence Platform enables cross-team collaboration in financial institutions through governed analytics and AI-powered workflows.
This article describes how Databricks eliminates organizational silos in financial services institutions by providing a unified data platform for collaboration across clients, operations, and finance teams.
MakeMyTrip, India's largest online travel agency, achieved millisecond-level personalization latency using Databricks' Real-Time Mode (RTM) in Apache Spark Structured Streaming.
This post introduces an AI-powered audience segmentation solution built on Databricks that uses a multi-agent architecture to bridge the gap between advertising strategy and data execution.
