Snowflake and OpenAI have struck a multi-year, $200 million partnership to embed OpenAI’s models directly into Snowflake’s data platform, as vendors push to turn large language models into practical ...
The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.
Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.
Latest valuation a jump from $100 billion in August Databricks surpasses $4.8 billion revenue run rate in Q3 Funds to be used to expand research and for talent retention Company delivers positive free ...
CNBC is now accepting nominations for the 2026 Disruptor 50 list. Submit a nomination before February 23. Databricks said it is raising $4 billion at a $134 billion valuation to support AI app ...
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 ...
When running dbt in an Azure Devops Agent (for continues integration reasons) I get this warning: 09:13:52 Concurrency: 6 threads (target='test') 09:13:52 09:13:53 databricks-sql-connector adapter: ...
In the race to deliver seamless digital experiences, companies are searching for tools that not only measure customer behavior but also translate those insights into business growth. Few know this ...
Organizations are under constant pressure to modernize their estate. Legacy infrastructure, manual processes, and increasing data volumes in silos make it harder to deliver the performance, security, ...
Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...
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, ...
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