Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data, data ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Spatial SQL and spatial joins are now supported in Lakehouse//RT and can run up to 38x faster than traditional data ...

Lower cost, predictable at scale. Databricks separates storage and compute on cloud object storage, with serverless scaling ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Transactional database technology “hasn’t actually changed that much in the last 40 years” and is inadequate for today’s operational AI applications and agents, Databricks co-founder and CEO Ali ...

As data sources and volumes grow, and as a data-driven orientation is increasingly deemed to be a competitive necessity, the war between platform vendors to provide the primary repository for our data ...

The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said. Along with open sourcing Delta Lake at ...