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You Can Do Better than Having Just a Vector Database

SingleStore’s vector database subsystem, first made available in 2017 and subsequently enhanced, allows an extremely fast nearest-neighbour search to find objects that are semantically similar, easily using SQL.
You Can Do Better than Having Just a Vector Database
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In the recent past, the database market is seeing a proliferation of speciality vector databases. Companies that buy these database management systems and plug them into their data architectures may be initially hopeful about their ability to query for vector similarity. But the short-lived excitement eventually turns into regret about bringing yet another component into their application environment. Vectors and vector search are just a data type and query processing approach, not a foundation for a new way of processing data. Using a speciality vector database (SVDB) will lead to the usual problems we see and keep solving again and again. Already, customers normally use multiple speciality systems: redundant data, excessive data movement, lack of agreement on data values among distrib
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Picture of Eric Hanson
Eric Hanson
Eric Hanson is a Director of Product Management at SingleStore, responsible for query processing, storage and extensibility feature areas. He joined the SingleStore product management team in 2016.
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