There are certain use cases that are best managed by a graph database, such as identity and access management, as well as IoT use cases like network analytics on sensor data. With ArangoDB 3.7, we’ve reached a critical milestone in our journey to build the most adaptive database – a database that is not only about data, but can also contribute to the development and innovation process.” “As organizations continue along their digital transformation, they need to be able to combine various forms of data from an increasing number of sources to answer today’s questions. “The mission of ArangoDB has always been to build the most flexible database to give developers freedom when building their applications – the freedom to innovate quickly without complexity,” said Claudius Weinberger, CEO and co-founder of ArangoDB. Furthermore, the ArangoDB 3.7 release focuses on improvements for deploying and operating ArangoDB on Kubernetes and cloud-like environments. ArangoDB 3.7 also significantly extends ArangoDB’s search and retrieval capabilities with fuzzy search and other improvements to its integrated full-text search engine, ArangoSearch. Key features in ArangoDB 3.7 include improvements for distributed scale-out graph queries with the introduction of SatelliteGraphs and Disjoint SmartGraphs to ArangoDB Enterprise. ArangoDB 3.7 introduces new graph and search features that improve the database’s capability to work with highly-connected data at any scale - furthering the company’s goal of providing the most flexible database on the market. 27, 2020 –ArangoDB, an open source multi-model graph database, announced the GA release of ArangoDB 3.7.
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