SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics

Screenshot 2014-08-20 at 11.23.23 AMby Angela Guess

In another big announcement from the NoSQL Now! and Semantic Technology and Business Conferences this week, “SPARQL City, which introduced its scalable graph analytic engine to market earlier this year, today announced that it has successfully run the SP2 SPARQL benchmark on 100 times the data volume as other graph solution providers, while still delivering an order of magnitude better performance on average compared to published results. SPARQL City ran the SP2 Benchmark against 2.5 billion triples/edges on a sixteen node cluster on Amazon EC2. Average query response time for the set of seventeen queries was about 6 seconds, with query 4, the most data intensive query involving the entire dataset taking approximately 34 seconds to run.”

The article continues, “By comparison, the best reported query 4 result by other graph solution providers has been around 15 seconds, but this is when running against 25 million triples/edges, or 1/100th of the data volume in SPARQL City’s benchmark test. This level of performance, combined with the ability to easily scale out the solution on a cluster when required, makes easy to use interactive graph analytics on very large datasets possible for the first time. Detailed benchmark results can be found on our website. ‘Big Data and the Internet are creating an expansion in analytic possibilities and leading to large investments in new data storage and processing capabilities. However, what’s missing are the right tools and foundational technologies that can remove the high barriers that end users still face when working with the new data sets of the post-web world’, said Barry Zane, Founder and CEO of SPARQL City.”

Read more here.

photo credit: SPARQL City