Back to the future: Does graph database success hang on query language?

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.
Read More →Is 5G the missing link for autonomous vehicles, smart cities, and a brave new world?

We may have hit peak 5G hype before 5G is actually available. But is 5G really a game changer?
Read More →DataTorrent: Hard code around streaming data philosophy in 90 days

We give you streaming data applications in 90 days, no matter what. And we'll do anything, including building on our closest competitor's engine, to deliver.
Read More →Reflect: Embedded meta analytics, built for developers

Cloud-based analytics for on premise data, an API-first approach for embedded product analytics, and impact-based pricing. Meet Reflect.
Read More →HarperDB: An underdog SQL / NoSQL database

HarperDB flies in the face of conventional wisdom in a number of ways. But does the world need another database?
Read More →The Reskilling Revolution: Taking control of skills with Open Badges

In a rapidly shifting job market, being able to formalize skills is a requirement for job seekers and employers going forward. Open Badges is a data specification that may be able to help do that.
Read More →From graph to the world: pioneering a database virtual machine

What are the options for querying graphs, and how do we go from that to the equivalent of a virtual machine for databases?
Read More →Opening banking data and APIs: Land of opportunity or Pandora’s box?

The EU directive PSD2 may not be as famous as GDPR, but its effects may be even more dramatically felt by financial institutions and anyone transacting with them.
Read More →The year of the graph: Getting graphic, going native, reshaping the landscape

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?
Read More →Fit by Data: Where data and fitness overlap

Committing to stay fit is a typical new year's resolution, but one that just as typically goes down the drain soon. Could it be that it's not entirely your fault, and what's data got to do with it?
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