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ArangoDB 3.4 Introduces Native Search Engine and Full GeoJSON Support

By   /  December 7, 2018  /  No Comments

According to a new press release, “ArangoDB, the leading open source native multi-model database, today announced the GA release of ArangoDB 3.4 – a transactional database solution which enables developers to efficiently interact with multiple data models by using just one technology and one query language. Major new enhancements in ArangoDB 3.4 include ArangoSearch, a feature which transforms ArangoDB, when combined with traversals or joins in AQL, from a data retrieval to an information retrieval solution; and full GeoJSON Support enabled by a Google S2 Geo Index library integration.”

The release continues, “ArangoSearch, the result of four years of research and development, combines Boolean and generalized ranking retrieval models (e.g. vector space model). Providing a rich set of information retrieval capabilities, ArangoSearch consists of two components – a search engine and an integration layer. The former is responsible for managing the index, querying and scoring, whereas the latter provides search capabilities for the end user in a convenient way. ArangoSearch can be combined with all three data models in ArangoDB. If used in conjunction with graph database capabilities, search results could be used, for example, to enhance fraud protection, individualize recommendations or simplify precision medicine.”

Read more at PR Web.

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