Snowflake launches Unistore for unified data management

Snowflake has announced the general availability of Unistore, a platform designed to unify transactional and analytical data, at its annual developer conference.

Unistore is powered by Hybrid Tables, a new table type available on Amazon Web Services, intended to streamline organisational data architectures by supporting both high-concurrency transactional workloads and analytical processing in a single platform. This development aims to provide consistent security and governance for customer data.

Carl Perry, Head of Core Services at Snowflake, said, "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. 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."

Traditional data architectures often require separate databases for transactional and analytical data, leading to increased complexity and operational burdens. Snowflake's Unistore platform aims to bridge these gaps by providing high-performance query capabilities and a unified governance model.

Hybrid Tables are designed to identify whether a query is transactional or analytical, optimising performance accordingly. This technology is intended to benefit a range of use cases including real-time state management, low-latency data serving, and the development of lightweight transactional applications.

Numerous companies have adopted the new technology to streamline their data operations. careviso Chief Technology Officer, Brandon Blais, remarked, "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, noted, "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, expressed satisfaction with the implementation, saying, "Hybrid Tables power alert data reporting in our cloud-native SIEM, allowing customers to search through millions of alerts per month directly from Snowflake."

Similarly, Project Lead The Way's Executive Vice President and Chief Technology Officer, Brian Greiwe, commented, "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."

Lorenzo Ball, Chief Data Officer at Mutual of Omaha, explained, "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, Senior Vice President of Data at Roofstock, a single-family rental investment platform, highlighted the benefits: "We are using Hybrid Tables as the backbone for our Data Services use cases."

Siemens AG also benefited from the integration. Henrique Dias, Service Manager and Data Architect at Siemens AG, said, "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."