Aerospike Database 6 release also introduces massively parallel secondary indexes, which promise the same speed and efficiency as primary indexes.
Aerospike Database has been outfitted with native support for JSON document models in the latest, version 6 release. The update also adds massively parallel secondary indexes.
Aerospike Database is the NoSQL database underlying the Aerospike Real-time Data Platform. Aerospike Database 6, unveiled April 27, both introduces support for JSON document data models, and promises to deliver sub-millisecond performance at gigabyte-to-petabyte scale. The JSON and JSONPath query support enable storage, searching, querying, and management of richer and more varied data.
The Aerospike Database 6 release also enhances support for Java programming models, including JSONPath query support to store, search, and manage complex data set and workloads. The databaseโs support for large-scale data models positions the Aerospike to add time series, graph, and more data models in the future, the company said.
Aerospike Database was purpose-built to handle real-time data at scale, with uses in areas such as telecommunications and financial services, including fraud analysis and understanding risk positions. Massively parallel secondary indexes in Aerospike Database 6 support partition and pagination queries, and give secondary index queries the same speed and efficiency as primary indexes.
Also in Aerospike Database 6, an enhanced batch API allows heavy read/writes and mixed workloads to reduce round-trip time and network traffic while improving parallelism. Federal security compliance is supported through FIPS 140-2. And SQL support is available via Spark and Presto/Trino plug-and-play connectors from Aerospike Connect.
Interested parties can get started with Aerospike via the company website.


