[LDF Dev] Top 10 Open Source Graph Databases

[Malith Jayasinghe]

Hi All,

Graph databases offer a powerful alternative to relational models by using nodes and edges to represent relationships, which is ideal for applications with large, integrated datasets where connections between data are crucial. 

This makes them especially effective for use cases like fraud detection, recommendation systems, and knowledge graphs. Graph databases are also scalable and adaptive to schema changes, fitting well in today’s dynamic data environments.

The open-source ecosystem has driven the growth of graph databases, enabling innovation and community-driven support. When choosing a graph database, consider factors like popularity, feature richness, performance, and community support to ensure it meets your organization’s needs.

This article has more details: https://www.index.dev/blog/top-10-open-source-graph-databases

[Vibhatha Abeykoon]

Hi All, 

Thanks for sharing this nice article Malith. I also think that graph databases could provide more powerful features in the longer term if we are working with data that has more relationships that could grow exponentially with time. 

We are looking into Apache TinkerPop, Dgraph, JanusGraph, and Neo4j. And we'll definitely add some of the other choices in this article for further evaluation. 

Scaling is an interesting case as only a few provide an open-source distributed graph setting. That's something to look closely at. We will update this thread once we learn more. 

Best, 

Vibhatha