I maintain a strong sell on Snowflake due to sharply decelerating growth, declining net revenue retention, and heavy stock-based compensation dilution. Snowflake's consumption-based revenue model is ...
The AI data cloud provider announced its intention to acquire Observe, benefiting data teams with unified analytics.
Here are some of the key business metrics to watch from Snowflake’s (NYSE: SNOW) Q3 earnings: Remaining Performance Obligations (RPO): $7.88 billion, up 37% year-over-year, significantly outpacing ...
If you are wondering whether Snowflake shares still offer value at current levels, this article walks through what the numbers actually say rather than the hype. Snowflake's share price closed at ...
Montana-based Snowflake, a company known for handling the needs of a data warehouse and data lake with its unified data cloud, today expanded its product portfolio with a dedicated offering for the ...
Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it has signed a definitive agreement to acquire Observe, a leader in AI-powered observability. With this acquisition, Snowflake will ...
Munge that corporate data using the LLM of your choice The data platform Snowflake is putting Google's Gemini to work inside its Cortex AI, aiming to give customers access to a foundational model ...
Snowflake ML and NVIDIA integration puts high-speed AI development in the hands of data scientists Collaboration enables NVIDIA's popular CUDA-X libraries to be seamlessly used within the Snowflake AI ...
No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company in partnership with leading industry partners and ecosystem vendors, including Salesforce, BlackRock, ...
The acquisition will expand Snowflake’s capabilities in a $50+ billion IT operations management software market 1, positioning it to deliver next generation AI-powered observability based on open ...
The Open Semantic Interchange initiative aims to create a universal semantic data framework for all companies to standardize their fragmented data definitions with an open, vendor-neutral ...