Snowflake’s Unistore Unifies Transactional and Analytical Data with the General Availability of Hybrid Tables

Nov. 13, 2024 — Snowflake has announced at its annual developer conference, BUILD 2024, a modern approach to bring transactional and analytical data together in a single, unified platform with Unistore. Unistore is powered by Hybrid Tables (now generally available on AWS), a table type that enables fast, high-concurrency point operations to support transactional workloads. With Unistore, customers can further simplify their data architectures, while ensuring consistent security and governance across their data.

“Snowflake has been at the forefront of data innovation for over a decade now, and continues to find new ways to streamline organizations’ data foundations. The general availability of Hybrid Tables are the next iteration of Snowflake’s journey, empowering enterprises to execute both transactional and analytics use cases from a single platform,” said Carl Perry, Head of Core Services, Snowflake. “With Hybrid Tables, which power Unistore, enterprises also benefit from Snowflake’s unified security and governance across all of their data, so they can spend less time worrying about their data protections, and more time accelerating innovation with the AI Data Cloud.”

Unistore Unlocks Enhanced Simplicity Across Organizations’ Data Architectures

Traditional data architectures require organizations to manage separate transactional and analytical databases, often leading to operational burden, data silos, and governance gaps. Additionally, transferring data between these various systems can be slow and complex, resulting in delays and increased complexity. Unistore bridges these gaps, bringing together ready-to-query transactional and analytical data in a single platform with the security, governance, and near-infinite scale that the AI Data Cloud offers.

As a part of Unistore, Hybrid Tables intelligently identify when a query is transactional or analytical in nature to provide customers with the most optimal query performance. Hybrid Tables run double-digit millisecond point operations alongside users’ analytical queries, all within Snowflake. With Hybrid Tables, organizations can now harness all of their data to unlock various use cases including:

• State Management: Enabling users to maintain application and workflow state in real-time, removing the need to manage multiple database systems.
• Data Serving: Empowering users to serve low-latency data for their apps, without having to move between databases, while maintaining a unified governance and security model.
• Building Lightweight Transactional Apps: Helping users build lightweight transactional apps with Snowflake’s expanded support for transactional capabilities, simplifying both app development and their architectures.

Hundreds of global customers from various industries are already using Unistore today to unite their transactional and analytical workloads, and simplify their data architectures.

Read more about the latest advancements to Unistore in this blog post.

About Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Source: Snowflake