Snowflake Releases
Snowflake blog and product updates. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 87 Snowflake releases · Updated
- Snowflake Blog blogaiawsazuresnowflakegaengineer ·
Snowflake Adaptive Compute GA in Azure, GCP regions
Snowflake's Adaptive Compute feature, designed to automatically adjust compute resources for fluctuating AI and variable workloads, is now generally available in select Azure and Google Cloud regions, in addition to previously available AWS regions. This enhancement aims to improve price-performance, reduce manual tuning, and simplify compute management for diverse workloads. It is available for Enterprise+ accounts with a simple configuration change to existing standard warehouses.
feature patch - Snowflake Blog blogdatasnowflakeengineer ·
Snowflake Custom Incrementalization for Dynamic Tables Improves Performance
Thrive Learning, a UK-based enterprise learning platform, improved the cost-performance of its Snowflake Dynamic Tables by implementing custom incrementalization. This new capability allows transformations to process only changed rows rather than full refreshes, significantly reducing compute and auto-clustering costs. The solution, developed by Thrive's data engineering team, also maintains data lineage within their dbt workflows, enabling fresher data for AI use cases.
feature patch - Snowflake Blog blogdatasnowflakeengineer ·
Snowflake Dynamic Tables: Faster Refreshes and Enhanced Features
Snowflake has released significant performance improvements for Dynamic Tables, achieving up to 2.8x faster refresh times on Gen2 warehouses. New features like QUALIFY row/rank = 1 and PRIMARY KEY RELY constraints enhance incremental processing and data stability. These updates benefit data engineers and architects managing autonomous data pipelines by reducing latency and compute costs, with some features now generally available and others in public preview.
feature patch - Snowflake Blog blogdatasnowflakepreviewengineer ·
Snowflake Hybrid Tables See Major Performance and Cost Improvements
Snowflake has significantly boosted the performance of Hybrid Tables, offering up to 8x faster point lookups and 10x faster batch writes with 10x lower cost, based on internal benchmarks. These enhancements aim to consolidate transactional and analytical workloads, eliminating the need for separate OLTP databases and reducing complexity for AI applications and workflow state management. The improvements, which will be enabled by default for all Hybrid Tables workloads, also include the elimination of request credit billing, resulting in average cost reductions of 15%.
feature patch announcement
About Snowflake release tracking on ReleaseBytes
Snowflake's weekly releases, behaviour change bundles and feature announcements are easy to lose track of. ReleaseBytes follows the official Snowflake release channels and summarises each update, flagging behaviour changes and deprecations that need action before they are enforced.
Frequently asked questions
How often are Snowflake release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Snowflake release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Snowflake changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new Snowflake releases? ›
Set up a free email or Slack alert filtered to Snowflake, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the Snowflake release data come from? ›
From the official sources: Snowflake blog and product updates. Every item links back to the original vendor announcement.