Today’s data landscape is increasingly complex, varied, and distributed. The emergence of IoT, rise in unstructured data volume, and increasing frequency and complexity of analytics requests all contribute to the need for a more flexible data management solution. In order to keep up with enterprise demands for data and analytics, it’s necessary to use tools that are designed to flexibly integrate data sources for varying purposes.
Stardog, the leading Enterprise Knowledge Graph platform, lets you connect data silos, no matter their structure, velocity, or location. Using a powerful, standards-based graph query language, SPARQL, Stardog can answer complex questions from data stored across multiple silos.
Graph is the natural way to represent data that is natively stored in other structures. However, many data integration and analytics platforms are still based on relational data structures. While relational databases and systems are great tools for indexing and searching for structured data, they are poorly-equipped to connect across sources or identify hidden relationships and patterns from the wealth of connected data in a business.
Regarding Resource Description Framework [RDF], Gartner provides “it is a simple data model with a standard syntax that can represent information of any form. The true power of the RDF, however, is its ability to explicitly and unambiguously capture meaning — or semantics — in the data itself. Information architects can use the RDF to create vocabularies that define and describe every element in a particular domain. These vocabularies are shared and accessible across systems, so data can leave home without fear of being misunderstood.
- Gartner, How to Use Semantics to Drive the Business Value of Your Data, Guido De Simoni, Refreshed 2 April 2020, Published 27 November 2018
In contrast to relational structures, graph allows data to be unified even when properties are not uniform or when definitions of entities vary depending on use case. Stardog represents data from structured, semi-structured, and unstructured sources in graph to create a uniform data layer, enriched with the full context of data from every source. Stardog goes beyond simply supporting graph-based integration, offering a unique combination of graph, virtualization, and inference.
With Stardog you can query across relational databases, NoSQL databases, documents, and even geospatial data—seamlessly. Knowledge Graph administrators and knowledge workers can use Stardog Studio to model data, write queries, and view data sources unified in the Enterprise Knowledge Graph. Data scientists and analysts can use Stardog’s powerful BI/SQL server to point Tableau, PowerBI, Qlik, Domo, or any other SQL-based visual analytics tool to quickly build reports, dashboards, and derive insight—all powered with data connected by Stardog.
Stardog's BI/SQL Connector… flips the virtual graph functionality on its head by providing support for SQL-based business intelligence and visualization tools, enabling users to perform graph queries of data in the EKG without needing a custom user interface or expertise with the SPARQL query language.
- 451 Research, Stardog: Virtual graph, BI integration key to expanding Enterprise Knowledge Graph interest.
Dow Jones’ market-sensing application scans the news to find events that are important to their customers and alerts them in real-time. By unifying structured, semi-structured, and unstructured data, Dow Jones is able to deliver innovative new products to market.