Highly interconnected data from complex domains is challenging to model, cumbersome to maintain, and unscalable to query. With MindmapsDB, a distributed knowledge graph, and Graql, our knowledge-oriented query language, building intelligent systems for such complex data becomes dramatically easier.
Technologies like Google's Knowledge Graph pioneered the semantic search experience on the web. With MindmapsDB, you can build ground breaking semantic search tools for your organisation's corpus of information with dramatically less engineering effort.
When exploring a large set of heterogeneous data, it is critical that you have the right structure and semantic model in order to effectively understand your data. MindmapsDB dramatically simplifies the data infrastructure required to navigate through layers of highly interconnected data.
Pandora, Rotten Tomatoes and IMDB are popular examples of technologies that exploit the power of content-based recommendation systems. MindmapsDB allows you to quickly build advanced recommendation systems for your business by seamlessly integrating a powerful query engine.
Wikipedia has shown us what a powerful knowledge management system has to offer to the world: an organised, contextualised and highly interconnected information resource reused across the web. MindmapsDB offers organisations the ability to easily develop systems to transform their information into reusable knowledge.
Many companies use analytics, but only a few of them can act on their data immediately without going through days, weeks or even months of developing the system. MindmapsDB integrates real-time analytics as an inherent feature of its query language, allowing you to analyse your data in place without engineering effort.
MindmapsDB provides a semantically rich structure for highly interconnected and complex data. The Graph API allows you to easily integrate data into your code.
MindmapsDB is equipped with a knowledge-oriented query language, Graql, that has inference and analytics capabilities which allow you to write highly intelligent queries intuitively.
MindmapsDB allows you to define a schema that truly describes the meaning of your data through a model that could express the real world. Your schema could flexibly evolve as your business grows.
Through Graql, MindmapsDB allows you to express complex questions in simple and short pattern matching statements. The equivalent queries would be long and unintuitive in other languages.
MindmapsDB allows you to analyse your data in place using Graql, without further engineering effort. Learn more about your data, even when you don't know much about the structure.
MindmapsDB’s Graql is a knowledge-oriented query language. Graql allows for queries of both associative and contextual natures, for retrieving explicitly stored and implicitly derived knowledge.
The Film Discovery Enginehttps://moogi.co
For those of you that have been waiting - we're sorry for the delay, but we're so close! We'll be ready to release on the 10th of September. Let us know what you think about our technology and what you would like to build with it. And don't forget to star our repository on GitHub!