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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This Week in Neo4j: Cypher, GenAI, Podcast, Graph Databases and more

Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.

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This Week in Neo4j: Data Journalism, LLMs, Object Mapping, Cypher and more

Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.

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This Week in Neo4j: Neo4j 5, GenAI, RAG, Vector Index and more

Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.

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This Week in Neo4j: Vectors, Cypher, Geospatial, DFIR and more

Check out what’s new this week in Neo4j, including Superhero dataset, Workspace updates, synthetic data, LLM, streaming graph data, and more.

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This Week in Neo4j: Advanced Cypher, Data Analysis, Graphyx, GraphQL APIs, and More

Check out what’s new this week in Neo4j, including Advanced Cypher, Data Analysis, Graphyx, GraphQL APIs, and more.

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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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Neo4j Recognized for the First Time in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems

It’s the first time that Neo4j or any native graph vendor has been included in the Gartner® Magic Quadrant™ report.

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Better AI With Neo4j and Azure Machine Learning

Learn how to integrate Neo4j’s Graph Feature Engineering capabilities with Azure Machine Learning for better AI.

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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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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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#GraphCast: Interact With Node Art

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, Angela Zimmerman, our Blog Managing Editor, shared the first video in a series from some of our… Read more →

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Developers.Zed: The LinkedIn for Developers in Zambia

We had the pleasure of speaking with Kacha Mukabe, who is a grand winner of the 2021 Leonhard Euler Idea Contest for his innovative project using Neo4j graphs at Developers.Zed.

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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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This Week in Neo4j: Graphs4Good, GraphQL, Game of Life, Information Extraction, Cypher Map Projection, and More

GraphConnect is right around the corner! We are so excited to get together with the community for this long-awaited onsite event in Austin, Texas, from June 6 – 8, 2022. You can learn all about it – speakers, content, and… Read more →

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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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#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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GraphQL: The Past, Present, and Future

As a software engineer, I have been building GraphQL applications for several years and will be sharing the past, present, and future of GraphQL here at Neo4j.

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This Week in Neo4j: Viterbi Algorithm, Cypher Map Projection, Knowledge Graphs, and Full-Stack GraphQL

We have a knack for finding the power of relationships! This week, we look at the transformative influence of knowledge graphs in medical research and crime investigations. Enjoy the article demonstrating the Viterbi algorithm in Neo4j and improve your analytical… Read more →

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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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#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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You Want Some Join Context? Neo4j Has You Covered

Discover how graphs optimize your joins and provide additional, mission-critical context to your data relationships.

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Full Stack Graph in the Cloud

I will be sharing how Neo4j fits into the modern cloud ecosystem from the perspective of a full stack developer. I work on the Developer Relations team at Neo4j and spend much of my time working to integrate different technologies with Neo4j as well as looking at how customers are already doing this.

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