Trovares ensures just that with xGT, its high-performance graph analytics solution. xGT is a deep analytics platform that empowers data scientists to obtain the answers to their questions faster. “Data scientists have a series of queries that they need to run on an analytics platform so having some human factor response time is critical for them,” explains Jim Rottsolk, CEO at Trovares. “The user is going to get the answer soon enough so that he can remember why he asked the question in the first place and go on to the next query,” he adds.
As the company’s CTO, David Haglin calls it, xGT is the only scale up graph solution in the market that allows businesses to look at all the data rather than running through it in bits and pieces. xGT has primarily been addressing the needs of the federal government departments over the years and is now being commercialized as an ideal graph analytics solution that gives organizations the capability to know what they must do and make the right decisions in time. It allows the data scientists to be more productive and do things that were not possible earlier. Offered as a developer edition, xGT is ideal for mission-critical applications with the assurance of being 100 times faster than the existing solutions in the market.
An instance that highlights the high performance of Trovares’s deep analytics platform precisely is the one where the company onboarded a customer that wanted to compare its solution, xGT with another tool in the market.
xGT is the only scale up graph solution that allows businesses to look at all the data
Trovares further envisions expanding the capabilities of its platform in the future. Working aggressively in that direction, the company has released a free version of its solution’s developer edition which will allow the users to run it anywhere on any system with up to 8 cores. This will increase the productivity of developers of graph applications and data scientists, and the team at Trovares is optimistic about building a community of new users this way. The team has also been indulged in code development and feature development to ensure that the solution runs fast at both large and small scales. “This is a great time for us and the developers. While our competitors are selling the database in addition to a way to raise queries, we are focused on ingesting that content doing magic with the graph technology,” concludes Rottsolk.