Graph database selection

1.1 Development Trend of
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Mainstream Graph Database 1.2 Comprehensive Score of
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Mainstream Graph Database 1.3 Basic Information on Mainstream Graph Database Selection
For details, please refer to the EXCLE document: " Basic Information on Graph Database Selection"

1.4 Recommendations for Graph Database Selection
Based on the above comparison, Neo4j and JanusGraph are the top two graph databases of a single graph model to enter the selection options range, and TigherGraph enters the selection options range because of its support for big data and high concurrency scenarios. .

Compare Neo4j and JanusGraph:
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Neo4j is the first to start Graph DBMS, and the product is very mature, but both cluster and replication need to be supported by the enterprise paid version, which is authorized by GPL V3.
JanusGraph is an open source project based on the Titan graph database and is maintained by the Linux Foundation. It is not a native graph database engine, but the bottom layer uses traditional structure storage such as ES and HBase, and encapsulates graph query APIs on it.

Compare the Enterprise Edition and Community Edition of Neo4j:
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The performance of TigherGraph is superior to Neo4j and JanusGraph according to the benchmark test report provided by the official website, and it is positioned as a new generation graph database. For details of the test, please refer to the PDF document "TigerGraph-Benchmark-Report".

1.5 Key indicators of graph database selection
1: Support for large graphs: Support for graphs with hundreds of millions of nodes and edges, scalability after knowledge graph iteration
2: Database IO efficiency: efficiency of writing and reading large amounts of data
3 : Diversity of data formats: support for multiple data sources, manual development of ETL workload
4: support for dynamic update: data update without stopping the service
5: data mining tools and algorithms: mainstream data mining tools Supportive

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Origin blog.csdn.net/hardyer/article/details/102603790