Case Study: Digital Reasoning

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“Customers turn to Synthesys for highly complex analysis. The best way for us to deliver the experience our users demand is to employ extremely fast, scalable distributed computing based on Cassandra” - Harry Schultz, Digital Reasoning

Company: Digital Reasoning

Overview: Information overload—a growing problem with a revolutionary solution—thanks to Digital Reasoning’s Synthesys®. The amount of data that modern applications must interact with is dramatically expanding, and by some estimates, up to 70% of this data is unstructured. Earlier techniques for managing and analyzing information haven’t been able to keep up with these new classes of unstructured data. Software architects, developers, and administrators are turning to more scalable options, such as Cassandra, for managing massive amounts of information.

In business since 2000, Digital Reasoning™ is the leading provider of complex analytic solutions that deliver entity-centric applications on secure, scalable environments. Its flagship product, Synthesys, helps users automate the understanding of vast amounts of data. The product is designed to support consumption and analysis of both structured and unstructured data, including millions of documents and hundreds of millions of links and concepts. It resolves entities across diverse, unstructured data sets and these requirements far outstrip the capabilities of earlier generations of technology.

Data Size: Scale to 400+ nodes

Challenge: Support ingestion and analysis of both structured and unstructured data with scalability to millions of documents and hundreds of millions of links and concepts.

Solution: To employ an extremely fast, scalable distributed computing environment based on Cassandra, supported by DataStax