Graph databases and analytics are getting ever more accessible and relevant

As we’ve been keeping track of the graph scene for a while now, a couple of things have started becoming apparent. One, graph is here to stay. Two, there’s still some way to go to make the benefits of graph databases and analytics widely available and accessible. Add to this a newly-found timeliness, as leveraging connections is where this technology shines, and you have the backdrop for today’s announcement by TigerGraph.

Even though graph databases have a history that goes back at least 20 years, it’s only the last couple of years that it started getting in the limelight. The realization that the way data points are connected can bring more insights, and value, than sheer data volume seems to have hit home. At the same time, graph technology has been making progress, while the limitations of incumbent relational databases when it comes to leveraging connections are now well understood.

This has lead to a perfect storm for graph databases. Graph databases went from a niche market to the fastest-growing segment in data management in almost no time. Gartner, for example, predicted last year that this space will see compound annual growth of 100% on a year to year basis till 2022. Every single industry executive we’ve spoken to seems to verify this — 2019 has been a very good year indeed.

TigerGraph is no exception. TigerGraph is a relative newcomer in this space, having emerged from stealth in 2017. Before that, however, TigerGraph’s people have been working on their platform since 2012. This is starting to pay off, according to TigerGraph VP Marketing Gaurav Deshpande.

Read the full article on ZDNet