Oct. 25, 2023, 1 p.m. | Paul Gillin

Big Data – SiliconANGLE siliconangle.com


Graph database market leader Neo4j Inc. today announced new features that it says can improve the speed of analytical queries up to 100-fold and enable users to run both transactional and analytical workloads within a single database while tracking real-time data changes. The performance is achieved via parallelization, which adds concurrent threads across multiple CPU […]

The post Neo4j boosts query speed and support for hybrid transaction/analytical uses appeared first on SiliconANGLE.

analytical workloads big data change-data-capture data database features graph graph analytics graph database graph databases hybrid leader neo4j neo4j inc. new features parallelization performance query real-time speed support the-latest time data tracking workloads

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