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Published : Apr 26, 2023
Apr 2023
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

TypeDB is a knowledge graph database, designed to work with intricate data relationships which makes it easier to query and analyze large data sets. TypeDB's TypeQL query language has a SQL-like syntax which eases the learning curve for schema definition, querying and exploration. TypeDB comes with a variety of tools that make it easier to work with the database, including a command-line interface and a graphical user interface, TypeDB Studio, which provides some features for working with TypeDB, such as managing schemas, querying data, visualizing relationships or even collaborating with others. There is a good deal of documentation available and an active community for support. Our teams used it to build knowledge graphs of taxonomic concepts across different databases and took advantage of its strong inference capabilities by adding new inference rules increasing efficiency and reducing workload. With its intuitive developer experience and supportive community, TypeDB is a good candidate to consider for any team looking to build data solutions that depend on complex data relationships, including natural language data, recommendation engines and knowledge graphs.

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