ISO GQL: A Defining Moment in the History of Database Innovation

ISO GQL (Graph Query Language) is the new standard for graph databases. Discover its impact and what it means for the future of graph databases.

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Native vs. Non-Native Graph Database

Discover the critical differences between native vs. non-native graph databases and why the distinctions matter for database performance.

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How Apna Built a Better Job Search Experience With Graph Database

Discover how Apna uses Neo4j Graph Database to offer a more personalized and efficient job search experience for India’s emerging workforce.

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Graph for Equitable Financial Opportunities: The 5-Minute Interview With Arthur Zverko

Because of how we approach data in our platform and look at it from a developer-friendly way – and thinking of the data just as JavaScript objects – the traversal of graphs seemed like a natural pick for us. That’s why we chose to go with Neo4j,” says Arthur Zverko, Software Team Lead at financial platform Equitybee.

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Graph Analytics: The Future in Data Science?

Graph databases are designed to efficiently store and query connected data by using a node and relationship-based format, making them particularly equipped to solve problems when understanding those connections are critical.

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Predictions for 2023: What’s on the Horizon for Graph Technology?

It’s always a pleasure speaking with Jim Webber, Neo4j’s Chief Scientist. I got the opportunity to sit down with him for an extensive conversation that touched on everything from the challenges of the COVID years, some recent product launches at Neo4j, the graph ecosystem in APAC and beyond, and his predictions for what’s in store for graph in the year 2023. (Hint: Graphs aren’t going away.

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20 NODES 2022 Talks You Don’t Want to Miss

We did it together! Thank you, everyone, for making NODES 2022 such a success, especially the speakers, community partners, and the folks behind the scenes.

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Graph Data Science for Drug Discovery: The 5-Minute Interview With Ufuk Kirik

Dip your toes in the water. Pay attention to graph model, but don’t be a perfectionist. There’s a lot of really good documentation out there. There’s a lot of experts who are willing to share their expertise. Use them and don’t be shy and try it out,” says Ufuk Kirik, Associate Director of Graph Data Science at AstraZeneca.

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Using Neo4j Fabric for Scalable Fraud Detection on Graphs

Graph databases have proven immensely valuable in mapping out and predicting fraudulent transactions. However, as databases grow to tens or even hundreds of billions of entities, building a scaled-out data infrastructure that still performs with a response time in milliseconds becomes nontrivial.

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Loading Data into Neo4j With Google Cloud Dataflow

We are excited to announce that Neo4j has released flex templates for Google Cloud Dataflow, which support complex ETL processes through configuration, not code.

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NODES 2022 Speaker Highlights

Join us virtually on November 16 and 17 for NODES 2022 – the best place to learn everything about graph technology. Whether your interest is in graphs fueled by machine learning, graphs for knowledge search and retrieval, or graphs leveraged for AI-based product recommendation, this 24-hour online conference is for you.

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A Power User’s Experience on Using Graph Databases to Drive Better Decision Making

“Bloom visualization makes it easy to drive discussion and help my clients understand the cheapest, fastest, or the greatest value path available to them and drive better decision making,” said Rob Orlando, Chief Operations Officer, Processus Group.

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Using Graphs to Unlock Forensics: The 5-Minute Interview With Thomas Larsen

Some of the most surprising results have been how easy it was to integrate it into our existing mature infrastructure, and then how quickly my team adopted it. I had a team of five, including myself, and all of them now use Neo4j on almost a daily basis. Even one gentleman who’s a bit skeptical of new tools and new technologies – he embraced it. And when he embraced it, I knew we had something special.

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Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

Design thinking is the secret to successful graph-powered apps. My organization, Predictive UX, designs graph-based applications. We come at it from a human-first user experience perspective and work primarily with enterprise organizations on complex content and data projects. I want to share some insights with you today about how design thinking impacts data products.

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Graphs for Cybersecurity: Cybersecurity Policy and Strategy

Discover some of the most effective cybersecurity policies and strategies to consider when defending against modern cyber attacks.

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10 Things You Can Do With Cypher That Are Hard With SQL

SQL has been around for ages. We don’t want to belittle this powerful language, but there are some things that just make more sense in Cypher.

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GraphConnect 2022: Learn the Neo4j Ropes at Expert-Led Training Sessions

We’re delighted to offer developers hands-on experience with Neo4j software at our training sessions during GraphConnect 2022 in Austin, Texas.

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Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs

Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.

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Demo: Building Intelligent Supply Chain Application with Neo4j

See this demo on how to build an AngularJS-, .Net Core-based intelligent supply chain application using Neo4j and AWS.

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16 Things to Consider When Selecting the Right Graph Database

Here are 16 things that you should consider when looking for the right graph database vendor for your application.

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#GraphCast: Introducing Going Meta – Episode 1

This first installment of Going Meta explores Cypher and SPARQL side-by-side, comparing the main Property Graph and RDF graph query languages in a hands-on sesion.

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Neo4j Quick Start on AWS Marketplace: The Fastest Path to Graph

We are excited to announce the launch of the Neo4j Quick Start template on Amazon Web Services (AWS) Marketplace. This new Quick Start approach provides an updated Cloud Formation template and architecture diagrams to empower Neo4j deployments with proven and efficient methods.

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Neo4j’s Emil Eifrem and FirstMark’s Matt Turck on the Graph Database Explosion

At this year’s Data Driven NYC, Neo4j CEO and Co-Founder Emil Eifrem sat down with Matt Turck of FirstMark, and they discussed the evolution and explosion of the graph database space.

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#GraphGist Revue: Mapping the Results of Women’s Alpine Ski Races

What exactly are GraphGists? Spawned from the intrepid minds of Neo4j nodes everywhere, GraphGists are teaching tools for developers and showcase “Use case and industry specific graph examples designed to inspire you towards your Graph epiphany.”

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Graph Data Science Use Cases: Entity Resolution

Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.

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