News
Entertainment
Science & Technology
Life
Culture & Art
Hobbies
News
Entertainment
Science & Technology
Culture & Art
Hobbies
Databricks removed the pain of Spark version upgrades with the first fully versionless Spark engine for Serverless notebooks and jobs. Versionless Spark exposes stable client APIs and automatic version upgrades, supported by AI-powered release management - resulting in a 99.99999% upgrade success rate. Versionless Spark ensures workload stability and frictionless upgrades so that workloads always run on the latest version, benefiting from newly released performance and security improvements with zero code changes.
This article demonstrates how agentic AI systems combining large language models with mathematical optimization can revolutionize supply chain management by democratizing complex decision-making tools, with Databricks providing the comprehensive platform for building, evaluating, and deploying these enterprise-ready solutions.
Discover Mercedes-Benz’s novel data model for petabyte-scale car measurement data — enabling efficient analytics & optimized storage on the Databricks Intelligence platform.
Brickster Voices is a series that spotlights the people who make our work possible. Through personal career journeys, behind-the-scenes looks at impactful projects, and a glimpse into how we work together, these stories offer a window into life at Databricks. Whether you’re exploring new opportunities, curious about our work in Data + AI, or simply inspired by stories of growth and collaboration, Brickster Voices invites you to get to know the individuals driving our mission forward.
Brickster Voices is a series that spotlights the people who make our work possible. Through personal career journeys, behind-the-scenes looks at impactful projects, and a glimpse into how we work together, these stories offer a window into life at Databricks. Whether you’re exploring new opportunities, curious about our work in Data + AI, or simply inspired by stories of growth and collaboration, Brickster Voices invites you to get to know the individuals driving our mission forward.
How Freshworks transitioned from a complex data processing system built on a diverse stack to a unified pipeline built on Databricks and achieved throughput as scale, reduced data processing latency, and optimized costs—all while handling millions of records per minute.
Databricks now supports Spatial SQL in Public Preview, which includes GEOMETRY and GEOGRAPHY data types, over 80 spatial functions for efficient geospatial data storage and processing. This enables high-speed spatial joins with predicates like ST_Intersects, accelerating location-based analysis and building scalable geospatial applications.