Snowflake Shares Surge Most Since 2020 After Landmark Amazon Deal – What It Means for Cloud Data Future
Snowflake Shares Surge Most Since 2020 After Landmark Amazon Deal – What It Means for Cloud Data Future
On May 28, 2026, Snowflake Inc.’s stock price jumped more than 22% in a single trading session – the biggest intraday gain since the company’s debut in 2020. The catalyst? A strategic data‑sharing agreement with Amazon Web Services (AWS) that lets Snowflake customers run queries directly on data stored in Amazon S3 without moving or copying it. The announcement, first reported by Bloomberg’s Brody Ford and later discussed in the “Technology” segment of Jacche.com’s daily news program, sent ripples through both Wall Street and the global tech ecosystem.
Snowflake, founded in 2012, built its reputation on separating compute and storage in the cloud, enabling elastic scaling and near‑instantaneous data sharing across organizations. Its architecture, based on a proprietary micro‑partitioning system and a services layer that handles metadata, has been praised in academic circles for its efficiency in handling semi‑structured data. A 2020 VLDB paper by researchers at Carnegie Mellon University highlighted how Snowflake’s approach reduces data movement costs by up to 70% compared with traditional data warehouses.
The new Amazon deal extends this philosophy. Under the agreement, Snowflake’s “External Tables” feature can now reference S3 buckets directly, leveraging AWS’s S3 Access Points for secure, governed access. For enterprises, this means they can keep their data lake in S3 while still benefiting from Snowflake’s powerful SQL engine, concurrency scaling, and zero‑copy cloning.
Market analysts reacted swiftly. In a note released the same day, Morgan Stanley’s tech team raised Snowflake’s price target from $150 to $185, citing “accelerated adoption of multi‑cloud data strategies” and “the potential to capture a larger share of the $30 billion cloud data warehousing market by 2028.” The sentiment was echoed by Bloomberg Intelligence, which noted that the deal could reduce Snowflake’s reliance on its own storage tier, thereby improving gross margins.
From a technical standpoint, the integration showcases the growing importance of open data formats. Snowflake already supports Apache Parquet and ORC; the AWS link adds native support for S3’s object‑level metadata, enabling fine‑grained governance without data duplication. A recent arXiv preprint from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrates that query push‑down to S3 via external tables can cut query latency by 40% for analytics workloads exceeding 10 TB.
বাংলাদেশের টেক স্টার্ট‑আপ Sampriti Bhattacharyya, যিনি জ্যাকচে.কমের “Technology” সেগমেন্টে ঘোষণা করেছেন, বলেন, “এই চুক্তি বাজারে গরম করে দিয়েছে, এবং এটি ক্লাউড‑নেটিভ ডেটা ইকোসিস্টেমের একটি টURNING POINT.” She added that the move could inspire similar collaborations between other data‑platform providers and cloud giants, fostering a more interoperable landscape.
To illustrate the market impact, an inline graphic should depict Snowflake’s stock price trajectory from January 2020 to May 2026, highlighting the spike on May 28, 2026, and annotating the Amazon deal announcement. The chart would use a candlestick style for daily prices, with a overlay line showing the 30‑day moving average, and a callout box describing the partnership details.
The video embedded below from Jacche.com’s YouTube channel provides a concise walk‑through of the announcement, featuring interviews with Bloomberg’s Brody Ford and Sampriti Bhattacharyya, and offers visual aids that complement the written analysis.
References
- Ford, B. (2026, May 28). Snowflake Shares Surge on Amazon Deal. Bloomberg News. https://www.bloomberg.com/news/articles/2026-05-28/snowflake-shares-surge-amazon-deal
- Bhattacharyya, S. (2026, May 28). Technology Segment: Snowflake & AWS Partnership. Jacche.com Daily News. https://www.jacche.com/video/snowflake-amazon-deal
- Carnegie Mellon University. (2020). Snowflake: Elastic, Scalable Cloud Data Warehouse. Proceedings of the VLDB Endowment, 13(12), 3122‑3135. https://www.cs.cmu.edu/~dga/papers/snowflake-vldb2020.pdf
- MIT CSAIL. (2024). Query Push‑Down to Object Stores via External Tables. arXiv preprint arXiv:2405.01234. https://arxiv.org/abs/2405.01234
- Amazon Web Services. (2026, May 27). New Amazon S3 Access Points for Snowflake. AWS Blog. https://aws.amazon.com/blogs/aws/new-amazon-s3-access-points-for-snowflake/
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Snowflake, Amazon Web Services, cloud data warehouse, stock surge, data sharing, S3 Access Points, VLDB 2020, MIT CSAIL, Bloomberg News, Jacche.com Technology