Investor's Business Daily on MSN
Snowflake in talks to buy Observe amid AI acquisition spree
In a deal that would add to its artificial intelligence acquisition spree, SnowflakeSNOW reportedly is in talks to buy ...
Snowflake Inc. (NYSE: SNOW) in talks to acquire Observe Inc. for about $1 billion. Deal aligns with Snowflake's AI and data ...
Snowflake Inc. is rated a Strong Buy due to strong revenue growth and high free cash flow margins. Learn more about SNOW ...
Zacks.com on MSN
Snowflake vs Alphabet: Which Cloud Data Stock Has an Edge Now?
SNOW's AI momentum is notable, but GOOGL's cloud growth, backlog strength, and stock performance give it the edge now.
A significant part of the answer lies in the company’s transformation. Snowflake is no longer merely presenting itself as a Cloud Data Warehouse.
StockStory.org on MSN
A look back at data storage stocks’ Q3 earnings: Snowflake (NYSE:SNOW) vs the rest of the pack
As the Q3 earnings season comes to a close, it’s time to take stock of this quarter’s best and worst performers in the data ...
Snowflake Inc.’s Data Cloud Summit 2024 was a weeklong event that brought together more than 20,000 of Snowflake’s core enterprise customers, developers and ecosystem partners to San Francisco this ...
The explosive growth of enterprise data has created substantial opportunities for cloud infrastructure providers, with Backblaze BLZE and Snowflake SNOW addressing distinct but interconnected segments ...
Cloud data platform’s backward-incompatible database schema change left customers unable to query data or ingest files ...
Snowflake Inc.'s key strength is its user-friendly, cloud-native data platform, enabling rapid data use without deep engineering expertise, justifying its premium pricing. While not the cheapest ...
The Unified ID 2.0 (UID2), the programmatic industry’s open web advertising identifier, has steadily added to its partnership roster of brands, agencies, ad tech vendors and publishers in the past ...
Over the past several months we’ve produced a number of in-depth analyses laying out our mental model for the future of data platforms. There are two core themes: 1) Data from people, places, things ...
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