Tag: storage
Enhancing Performance Using XATTRs for Vector Storage and Search
With the introduction of vector search, users can now store large vector arrays—often made up of seemingly arbitrary numbers—within their documents. Since this data isn’t required for most standard queries, users can now leverage extended attributes (XATTRs), which are part...
Introducing Couchbase Time Series
Couchbase is excited to announce the release of a new time-series feature as part of Couchbase 7.2. This feature is built on top of the robust Couchbase distributed database architecture, which is designed to scale horizontally as your data grows,...
Physical Storage Layer Options for Couchbase as a Persistent System of records
In a previous blog, I talked about various storage strategies that need to be considered when choosing the correct storage to meet your business requirements. This becomes more salient as datasets continue to grow and consistent performance is mandated by...
Couchbase as a Persistent System of Records – Storage Considerations
When using Couchbase as a persistent system of records the underlying storage infrastructure needs to be considered. Infrastructure decisions have an impact on the overall performance and availability of the data store, with the knock-on effect of impacting the data...
Reduce TCO By 10x Using Couchbase 7.1 For Large Multi-Terabyte Databases
Store hundreds of terabytes of JSON data and query in milliseconds with Couchbase 7.1. Our new storage engine in 7.1, Couchbase Magma, makes Couchbase the most cost-effective and performant database, lowering TCO. With Magma storage engine, Couchbase 7.1 becomes the...