Neo4j Blog

The Neo4j community is full of different kinds of people: people who help others with technical questions, those who write blogs to help educate others about graph databases, those who contribute to open source projects and more. Our community also has those special individuals who yearn to connect to their community by sharing knowledge and ideas, learning from others, and paving the way for... Read more →

Languages (the natural, human kind) shape how you view the world. From color to time to gender relations, there's no escaping how language limits (or expands) your worldview. Words are the categories and labels that we use to process and understand reality – and then to communicate that understanding to others. So when it comes to analyzing and describing data (a subset of reality),... Read more →

How do you prevent another global financial crisis like the one in 2008? The answer lies in better visibility into the deep connections in risk data. Armed with an understanding of risk data lineage, financial houses could have limited their exposure. A connected data foundation not only streamlines financial risk reporting – it also supports a world of innovative uses of your... Read more →

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have releases of APOC and the Neo4j JDBC Driver, a paper explaining how to derive socially useful information from public blockchains, a refresh of the Neo4j ETL guide, and more! Featured Community Member: Michael Graham This week’s... Read more →

Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for everybody at this year’s event. Here are just a few of the best reasons why you should attend GraphConnect 2018 in NYC on September 20 and 21: 10.... Read more →

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers, detecting and preventing fraud, proactively assessing credit applications and driving what-if scenarios that improve... Read more →