Nebula Graph supports exploration from a selected node, which is a plus. In terms of graph visualization, it is safe to say that all the mentioned platforms are just available for use. From the readability point of view, nGQL is similar to SQL and the learning curve should be shorter. both E ().otherV ().aggregate(‘x’).has(‘vid’, ‘attr’, ‘22222’).bothE().otherV().where(within(‘x’)).dedup().count()įrom the graph query language point of view, gremlin is complex and nGQL and Cypher are simple and neat. both E ().otherV ().dedup ().both E ().otherV ().count ()
Graph Query Language Comparison Platform / Query Language Here is a chart overview for the comparison: For the three graph queries, Nebula Graph shows clearly better performance compared to Neo4j and HugeGraph. However, when the data size is large, Nebula Graph is much faster than the other two. Seen from the above table, in terms of data import, Nebula Graph is a bit slower than Neo4j when the data size is small. The results are as below: Graph Data Size The test has been performed against various metrics, including data import efficiency, one-hop query, two-hop query, and shared friends query. The Tencent Cloud Security team has used graph data at different orders of magnitudes for testing purpose. It features the capability of dealing with super large datasets with hundreds of billions of vertices and trillions of edges. Nebula Graph is an open source distributed graph database developed by vesoft inc. It has pretty good read and write performance. HugeGraph is developed to address the needs of anti-fraud, threat intelligence collection, and underground economy attack with graph storage and analysis capabilities. HugeGraph is a distributed graph database developed by Baidu (NASDAQ: BIDU). For comparison in this article, the team has chosen the Community edition. It has a Community edition and an Enterprise edition. Neo4j is the most widely adopted graph database in the industrial world. To better serve the Tencent Cloud business scenarios, the Tencent Cloud Security team has to select a highly performant graph database which fits the business development well, which is how this performance comparison comes into play. Note: The best graph databases are listed in alphabetical order.This article describes how the Tencent (HKG.0700) Cloud team compares Nebula Graph with two other popular graph databases on the market from several perspectives.īy their nature of dealing with interconnections, graph databases are perfect for fraud detection and building knowledge graphs in the security field.
Dgraph vs neo4j software#
We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action. To make your search a little easier, we’ve profiled the best Graph Databases all in one place. Choosing the right vendor and product can be a complicated process - one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. Let’s have a side-by-side comparison of Dgraph vs Neo4J to find out which one is better. The editors at Solutions Review have developed this resource to assist buyers in search of the best Graph Databases to fit the needs of their organization. Our editors selected the best Graph Databases based on each product’s Authority Score a meta-analysis of real user sentiment through the web’s most trusted business software review sites and our own proprietary five-point inclusion criteria. Solutions Review’s listing of the best Graph Databases is an annual mashup of products that best represent current market conditions, according to the crowd.
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