Graph data standardization: It’s just a graph, making gravitational waves in the real world

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the hottest segment in data management: Graph.
Read More →2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1

Graph databases are crossing the chasm to mainstream use cases, adding features such as machine learning to their arsenal and becoming more cloud and developer friendly. Last year was a breakout year, and graph database growth and evolution is well under way in 2019.
Read More →Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database for your use case is essential if you want to be like the Airbnbs, Amazons, Googles, and LinkedIns of the world.
Read More →Open or closed? On graph database access, query languages, community building, and TigerGraph

Having an entry path, as well as a strong community, is important for any solution, and graph databases are no different. Following latest developments in graph query languages, TigerGraph is changing its strategy. How will this affect the domain? If you’ve been watching the graph database space, you probably know TigerGraph. It’s one of the […]
Read More →AWS Neptune going GA: The good, the bad, and the ugly for graph database users and vendors

It's official: AWS has a production-ready graph database. What features are included today, and what will be included in the near future, what use cases are targeted, and what does AWS Neptune's release mean for users and graph database vendors?
Read More →DataStax Enterprise Graph 6.0: what’s new, and what’s coming?

DataStax Enterprise just released version 6.0, a major upgrade. We take an insider tour with Jonathan Lacefield, Senior Director of Product Management with DataStax, focusing on DSE Graph. Even though news on the new DSE release have been out for a while, one of the principles to go by in the tech world is “never […]
Read More →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 →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 →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 →Sparkier, faster, more: Graph databases, and Neo4j, are moving on

New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
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