Instead of basing its technology on existing open source databases, Snowflake decided to create its own homegrown SQL relational database that can analyze both transactional data and machine data ...

Edge’s ColdFront could appeal to enterprises looking to reduce storage costs without sacrificing application compatibility or the ability to modify historical data.

As organizations move toward full-scale agentic AI, they must meet data quality standards and other requirements to make the ...

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on ...

Teradata offers a compelling value play versus Snowflake, combining profitability, disciplined spending, and robust AI ...

The Menlo Park, California-based company subleased the 11-story Block 6 building in the city's Spring District from Meta in ...

Discover how Microsoft aligns with the next phase of CNAPP—helping organizations correlate signals, prioritize risk, and ...

An artificial intelligence cloud and model life-cycle management platform. Financial operations tools that aim to follow AI waste from cloud to coding agent. And a company taking data centers to space ...

In June 2026, Snowflake Inc. held its annual general meeting and urged shareholders to vote against a proposal for majority ...

Beyond Tesla, ARK purchased approximately 149,700 shares of Snowflake valued at roughly $34.8 million. The fund also acquired ...

Snowflake SNOW and Alphabet GOOGL are major players in the cloud data and analytics space. While Snowflake provides a ...

Explore Snowflake’s cloud data platform, artificial intelligence capabilities, and enterprise analytics services within the S ...