TerminusDB
Knowledge graph and document store
TerminusDB is an open-source, graph database that enables users to store and manage complex graph data. It was first introduced in 2018 and has since become a popular choice for businesses and organizations looking for a high-performance, scalable graph database solution. TerminusDB is designed to be easy to use and highly scalable, with a range of features that allow users to store and manage large volumes of graph data. It is based on a native graph storage and processing architecture, which allows for fast and efficient data storage and retrieval. One of the key features of TerminusDB is its support for the WOQL query language, which is specifically designed for querying graph data. The platform includes a built-in WOQL query engine, which allows users to easily write and execute complex graph queries. Additionally, TerminusDB includes a range of graph traversal and analysis functions that allow users to easily query and analyze graph data. Another important aspect of TerminusDB is its focus on version control. The platform includes a built-in version control system that allows users to track changes to their graph data over time. This makes it easy to trace the history of a particular data point or relationship, and to revert to previous versions of the data if necessary. TerminusDB is also built with security in mind. The platform includes a range of security features, such as SSL encryption, authentication, and access control, that help to keep data secure and prevent unauthorized access. Additionally, TerminusDB includes built-in backup and disaster recovery tools, ensuring that data is always protected and can be easily recovered in the event of a disaster. Overall, TerminusDB is a powerful and scalable graph database solution that is well-suited for businesses and organizations of all sizes. Its support for the WOQL query language, graph traversal and analysis functions, and version control features make it a compelling choice for users who require a high level of control over their data management and analysis.