Snowflake unveils Hybrid Tables to unify data workloads

Snowflake has announced the general availability of Hybrid Tables, a new component of its Unistore platform that unifies transactional and analytical data on a single platform.

Companies such as Siemens AG, Mutual of Omaha, and Panther are utilising Hybrid Tables to streamline their data architectures and enhance their security and governance frameworks. The introduction of Hybrid Tables allows organisations to handle both transactional and analytical workloads within the Snowflake environment.

"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 at 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 addresses challenges presented by traditional data architectures, which often involve maintaining separate transactional and analytical systems. By combining these systems, Unistore eliminates the need for data transfers between platforms, thus reducing complexity and operational burden.

According to Snowflake, Hybrid Tables enhance query performance through intelligent discernment of transactional versus analytical nature, facilitating efficient data processing. This capability supports various use cases, including real-time application state management, low-latency data serving, and building lightweight transactional applications.

Brandon Blais, CTO at careviso, commented: "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."

Neal Foster, Founder and Chief Product and Business Officer at Gatehouse Bio, stated: "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."

Russell Leighton, Chief Architect at Panther, highlighted: "Hybrid Tables power alert data reporting in our cloud-native SIEM, allowing customers to search through millions of alerts per month directly from Snowflake."

Brian Greiwe, EVP and CTO at Project Lead The Way, added: "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."

Shivani Stumpf, Chief Product and Innovation Officer at PowerSchool, shared insights on their exploration of Hybrid Tables: "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."

David Kline, SVP of Engineering at MarketWise, remarked: "Migrating to Snowflake has been transformative for our team and critical to our mission of empowering everyday investors to make smart financial decisions."

Lorenzo Ball, Chief Data Officer at Mutual of Omaha, stated: "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."

Ken Ostner, SVP of Data at Roofstock, noted that Hybrid Tables simplify their data architecture and speed up response times for end users.

Henrique Dias, Service Manager and Data Architect at Siemens AG, explained: "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."