Stay up-to-date on how Snowflake and its underlying architecture has changed how cloud developers, data managers and data scientists approach cloud data management and analytics
Snowflake (NYSE:SNOW) has rapidly become a staple for data professionals and has arguably changed how cloud developers, data managers and data scientists interact with data. Its architecture is designed to decouple storage and compute, allowing organizations to scale resources independently to optimize costs and performance.
For cloud developers, Snowflake’s platform is built to be scalable and secure, allowing them to build data-intensive applications without needing to manage underlying infrastructure. Data managers benefit from its data-sharing capabilities, which are designed to break down traditional data silos and enable secure, real-time collaboration across departments and with partners.
Data scientists have gravitated to Snowflake’s capability to handle large, diverse datasets and its integration with machine learning tools. Snowflake is designed to rapidly prepare raw data, build, train, and deploy models directly within the platform to achieve actionable insights.
Watch this page for the latest on Snowflake.
Snowflake latest news and analysis
Snowflake brings analytics workloads into its cloud with Snowpark Connect for Apache Spark
July 29, 2025: Snowflake plans to run Apache Spark analytics workloads directly on its infrastructure, saving enterprises the trouble of hosting an Apache Spark instance elsewhere, and eliminating data transfer delays between it and the Snowflake Data Cloud.
Snowflake customers must choose between performance and flexibility
June 4, 2025: Snowflake is boosting the performance of its data warehouses and introducing a new adaptive technology to help enterprises optimize compute costs. Adaptive Warehouses, built atop Snowflake’s Adaptive Compute, is designed to lower the burden of compute resource management by maximizing efficiency through resource sizing and sharing,
Snowflake takes aim at legacy data workloads with SnowConvert AI migration tools
June 3, 2025: Snowflake is hoping to win business with a new tool for migrating old workloads. SnowConvert AI is designed to help enterprises move their data, data warehouses, business intelligence (BI) reports, and code to its platform without increasing complexity.
Snowflake launches Openflow to tackle AI-era data ingestion challenges
June 3, 2025: Snowflake introduced a multi-modal data ingestion service — Openflow — designed to help enterprises solve challenges around data integration and engineering in the wake of demand for generative AI and agentic AI use cases.
Snowflake acquires Crunchy Data to counter Databricks’ Neon buy
June 3, 2025: Snowflake plans to buy Crunchy Data,a cloud-based PostgreSQL database provider, for an undisclosed sum. The move is an effort to offer developers an easier way to build AI-based applications by offering a PostgreSQL database in its AI Data Cloud. The deal, according to the Everest Group ,is an answer to rival Databricks’ acquisition of open source serverless Postgres company Neon.
Snowflake’s Cortex AISQL aims to simplify unstructured data analysis
June 3, 2025: Snowflake is adding generative AI-powered SQL functions to help organizations analyze unstructured data with SQL. The new AISQL functions will be part of Snowflake’s Cortex, managed service inside its Data Cloud providing the building blocks for using LLMs without the need to manage complex GPU-based infrastructure.
Snowflake announces preview of Cortex Agent APIs to power enterprise data intelligence
February 12, 2025: Snowflake announced the public preview of Cortex Agents, a set of APIs built on top of the Snowflake Intelligence platform, a low-code offering that was first launched in November at Build, the company’s annual developer conference.
Snowflake open sources SwiftKV to reduce inference workload costs
January 16, 2025: Cloud-based data warehouse company Snowflake has open-sourced a new proprietary approach — SwiftKV — designed to reduce the cost of inference workloads for enterprises running generative AI-based applications. SwiftKV was launched in December.
