Enterprise data is diverse, heterogeneous, and distributed. There's never only one piece of data or one place to get data. The enterprise data landscape contains different data types moving at different velocities.
In the relational data world this leads to copies of copies, data warehouses over budget, and incompatible data silos that don't talk to each other. With the rise of semistructured and unstructured data, the problem has become acute. Other data management systems are optimized for some segment of the enterprise data landscape. Only the Knowledge Graph can unify all data types and every data velocity into a single, coherent, unified whole.
The only way to solve this challenge is to use the right abstraction. All of an enterprise's data at scale naturally forms a graph.
How do you query the enterprise as if it were a single unified data source? An Enterprise Knowledge Graph is the only solution to the data silo problem. Plain graph databases support graph as a data structure, but a data model is more than a data structure, just as a Knowledge Graph platform is more than a graph database.
Only Stardog combines a cutting-edge Graph Database with a world-class Knowledge Toolkit into a unified Knowledge Graph Platform. It's this unique combination that lets Stardog go beyond plain graph databases and mere graph analytics platforms, too.
With the addition of a Knowledge Toolkit, Stardog supports a wider and deeper range of services than any other graph or data unification platform.
Full data variety and every data velocity. Unify disparate and external data sources and turn data into actionable insight.
The right abstraction for all the data enables the Knowledge Graph instead of creating new silos, eliminating significant and costly efforts.
Query, search, and analyze. Stardog provides enterprise performance and support over massive data sets no matter how complex the data.
No Knowledge Graph knows as much. Stardog is the only platform to fuse machine learning, reasoning, and rules for contextualized insight of all the data.
Full text, semantically typed search out of the box
Create, train, and update machine learning models from Stardog's query language
Supports a rich modeling language, user-defined rules, and online supervised machine learning
Smart query answering for location-aware graphs
Graph traversals and algorithms with Gremlin
Deploy to Amazon Web Services and Pivotal Cloud Foundry in minutes
Collection of Stardog server instances that behave like a single instance for uninterrupted operations
In-place unification for RDBMS (Relational database management system)