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

Customers including Siemens AG, Mutual of Omaha, Panther, and more are using Hybrid Tables to simplify their architectures, alongside their security and governance posture

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

Media Contacts:
Kaitlyn Hopkins
Senior Product PR Lead, Snowflake
press@snowflake.com

Snowflake (NYSE: SNOW), the AI Data Cloud company, today 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.

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Snowflake’s Unistore Unifies Transactional and Analytical Data with the General Availability of Hybrid Tables (Graphic: Business Wire)

“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.

Supporting Customer Quotes:

careviso: “At careviso, we’ve been using Hybrid Tables as part of our seeQer platform to provide our users with increased healthcare transparency, combining transactional and analytical data together within Snowflake so our patients and providers gain real-time insights around the true cost of healthcare,” said Brandon Blais, CTO, careviso. “For example, patient health information, including a doctor’s network status, requires numerous point-lookups, and Hybrid Tables enable us with faster performance and more efficient transactional patterns for data insertion into Snowflake, so we can provide end users with the insights they need, faster.”
Gatehouse Bio: “At Gatehouse Bio, we believe that every disease has a hidden RNA code waiting to be deciphered. By cracking this code, we can unlock targeted treatments that revolutionize patient care. Snowflake serves as the foundation of our data strategy, allowing us to harness the power of thousands of patient samples and clinical trial data. Our research teams needed a unified platform to streamline their efforts, and Unistore's Hybrid Tables delivered,” said Neal Foster, Founder and Chief Product and Business Officer, Gatehouse Bio. “With this technology, we've consolidated our data workflows, simplified our processes, and reduced costs. Most importantly, we've empowered our team to focus on what matters most: designing precision treatments that transform lives.”
Panther: “Hybrid Tables power alert data reporting in our cloud-native SIEM, allowing customers to search through millions of alerts per month directly from Snowflake,” said Russell Leighton, Chief Architect, Panther. “Alerts are constantly changing and previously could not be stored in Snowflake. Now we can have alerts in the same database as the security log data, enabling comprehensive reporting and visualization.”
Project Lead The Way (PLTW): “At Project Lead The Way we are on a mission to provide students across the U.S. with real-world, hands-on learning experiences that prepare them for the future, while also motivating and supporting educators,” said Brian Greiwe, EVP and CTO, PLTW. “Snowflake has transformed how PLTW’s data engineering team is able to approach their work. Before Hybrid Tables, unifying our logs across various ETL tools was a challenge, leading to data silos and potential disruptions. Now, with Hybrid Tables, we can quickly and easily analyze all of our logging and monitoring data from a single platform. This has unlocked faster, more reliable data delivery with built-in security and governance across our organization.”
PowerSchool: “As a leading provider of software for K-12 education, it's essential for our team to deliver secure and efficient solutions that help our customers manage and analyze petabytes of data from various disparate systems to maximize educational achievement,” said Shivani Stumpf, Chief Product and Innovation Officer, PowerSchool. “We are exploring the potential of Hybrid Tables to simplify workflows and meet high-concurrency, low-latency demands of PowerBuddy, our responsibly designed AI assistant. This innovation could allow our customers to engage with millions of parents and students with a transformative user experience.”
MarketWise: “Migrating to Snowflake has been transformative for our team and critical to our mission of empowering everyday investors to make smart financial decisions,” said David Kline, SVP of Engineering, MarketWise. “In particular, Hybrid Tables have substantially improved our team’s visibility into mission-critical data and reduced our architectural footprint, leading to better, faster decision-making across the business. Hybrid Tables just made everything easier for us, and unlocked new workflows that were previously unachievable for us.”
Mutual of Omaha: "Snowflake's Hybrid Tables have accelerated our ability to manage marketing campaigns in real time, providing us the agility to process customer data and optimize marketing spend efficiently,” said Lorenzo Ball, Chief Data Officer, Mutual of Omaha. “By integrating transactional and analytical data, we've streamlined operations, eliminated data replication costs, and boosted responsiveness to customer interactions. This technology empowers us to act swiftly with the insights we need, all while maintaining the security and scalability that Snowflake delivers."
Roofstock: "We are using Hybrid Tables as the backbone for our Data Services use cases,” said Ken Ostner, SVP of Data, Roofstock, a leading investment platform for single-family rentals. “Snowflake’s Hybrid Tables allow us to simplify our data architecture, eliminating the need for data replication and eventual consistency in our environment, ultimately helping us speed up response times for end users and simplifying our analytics pipelines.”
Siemens AG: “Siemens AG leverages Hybrid Tables in its Data Ingestion Engine to overcome concurrency challenges and improve data quality and consistency for its critical ERP replication process,” said Henrique Dias, Service Manager and Data Architect, Siemens AG. “With Unistore and Hybrid Tables, we can further scale and support our growing Snowflake-based Siemens Data and AI Cloud.”

Learn More:

Read more about the latest advancements to Unistore in this blog post.
Learn more about Hybrid Tables through Snowflake’s documentation.
See how customers including MarketWise, Mutual of Omaha, and Project Lead The Way are simplifying their architectures, and their security and governance posture.
Double click into how Hybrid Tables can be used for low-latency data serving in this demo.
Check out all the innovations and announcements coming out of BUILD 2024 on Snowflake’s Newsroom.
Stay on top of the latest news and announcements from Snowflake on LinkedIn and X.

Forward Looking Statements

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.

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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).