Silicon Angle: What’s the Key to Simplifying Big Data? Objectivity Founder Tells All

February 28, 2012 Many of us have an idea of what big data means, but it’s the execution that seems to trip people up. If you ask Objectivity, the company behind InfiniteGraph, one of the biggest challenges around big data isn’t the volume but the relationship between data sets. And if you ask me, relational [...]

DBTA: Objectivity Adds New Features in InfiniteGraph 2.1

February 21, 2012 “Other big data solutions all lack one thing, Clark contends. There is no easy way to represent the connection information, the relationships across the different silos of data or different data stores, he says. “That is where Objectivity can provide the enhanced storage for actually helping extract and persist those relationships so [...]

Dataversity: Objectivity Releases New Updates for InfiniteGraph

February 21, 2012 “These advanced features are designed to allow application developers to get started quicker, make queries reusable, and receive query results interactively. With InfiniteGraph, Objectivity brings to market commercially proven Big Data Analytics that complement existing infrastructure.” Visit Dataversity for the full article!

Silicon Angle: InfiniteGraph Gets Support for Common Graph Database Language and More

February 21, 2012 “Graph databases are a type of NoSQL/non-relational database that focus on the relationships between objects in a database (yes, it is odd that relational databases aren’t good at dealing with relationship data). Social networks are one of the primary examples of a graph database use case: you can store all the information [...]

Objectivity Adds New Plugin Framework, Integrated Visualizer And Support For Tinkerpop Blueprints To InfiniteGraph

Advanced Features Make It Easy for Developers to Create, Define, Repeat, and Visualize Results in Minutes

Adding document-style schema flexibility to your InfiniteGraph application

So you’ve just finished the conceptual design on the next big Web 3.0 product and you’ve decide to use a graph database to help solve your big challenge: “How do I effectively manage all the known (and often) unknown relationships in my data?”. Your data model maps rather nicely to the graph’s nodes and edges [...]