Support for multiple data types, including relational, geospatial, time series, key value, JSON, and text.System-of-record capability, for transactional fidelity.Separation of storage and compute, for improved scalability and performance.Its latest release, version 7.5, includes capabilities that give it the kind of workload-handling flexibility associated with universal databases. SingleStore plans to use the funding to raise awareness of its database - both among developers and more broadly across business and technology - and build its sales and go-to-market capacity.Īlthough SingleStore doesn’t use the exact term “universal database,” the idea is still the same. Additionally, they showed a 150% jump in cloud revenue, though we don’t know from what baseline. SingleStore pointed to a 300% increase in new cloud customers. ![]() They brought the total funding to $264 million. Hewlett Packard Enterprise came in as a new investor, joining Dell, Google Ventures, and others. When I talked to Verma, SingleStore had just raised its latest round of funding, $80 million. Last year, they rebranded the company to SingleStore with a broader vision and name to match. It developed an in-memory database (hence, “mem” in the name). In 2011, the founders developed the company, first known as MemSQL. Though a startup, SingleStore is not a newcomer to the market. “We fundamentally believe that there is a better way to solve modern data challenges,” Verma told me in an interview. SingleStore CEO Raj Verma thinks there’s room for one more. You could deploy a different database every day for the next two years and still not use them all. Carnegie Mellon University’s comprehensive “database of databases” lists 769 different available systems. There are a plethora of database management systems from which to choose. For example, AWS offers more than a dozen different cloud databases: Postgres-compatible Aurora Redshift for data warehousing DynamoDB for NoSQL app development and so on. IBM’s DB2 is similar in its data dexterity.Īnd yet, purpose-built databases that are optimized for specific workloads - the opposite of a universal database - are very much in fashion. It includes online analytical processing (OLTP), analytics, and IoT. ![]() Oracle describes Oracle 21c as a “converged database” that can support various data types and workloads. Nevertheless, the concept continues to have its adherents. A few years later, IBM picked up Illustra. ![]() In 1997, Informix acquired one of the original developers of a universal database, Illustra. For more than 20 years, a few disruptive tech vendors have touted universal databases as a way to simplify data management using a single platform for both transactions and analytics. That’s a bold claim, but not unprecedented.
0 Comments
Leave a Reply. |