PALO ALTO, Calif., March 27, 2025 /PRNewswire/ -- Analysts need clean, trusted data to fuel AI projects and inform their strategic decisions. Central data teams worry about keeping data safe and ...
Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...
Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per second. The service is based on PostgreSQL, a popular open-source relational ...
Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...
It’s been a wild week for investors clawing their way into Databricks’ record-breaking $10 billion fundraising, one of the VCs leading the deal told TechCrunch. “There were calls that went well late ...
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 ...
Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...
The company expects $1 billion in revenue run rate for Databricks SQL by the end of its fiscal year in January 2026, a spokesperson said. That’s up from a $600 million run rate in December 2024. Used ...
Data lakehouse provider Databricks has acquired data platform modernization software provider BladeBridge for an undisclosed sum to help its new customers move from rival data warehouses, such as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results