Graph Database Benchmark Reports
LDBC-SNB Official Audit Report
Galaxybase Pioneer Benchmarking
Galaxybase VS Neo4j
Galaxybase Enterprise Benchmarking
LDBC-SNB Official Audit Report
Release Date:2022-05-30
Galaxybase declared LDBC-SNB audit success with a 70% improvement in throughput and an average query performance increase by 720% over the previously published records.
Zero Timeout Ratio:Galaxybase boasts 100% query on-time compliance, meeting the official minimum requirements of 95%.
Throughput: Galaxybase achieved a 70% improvement in throughput over the previous record.
Response Time:With a smaller compression ratio and a higher request frequency, Galaxybase held an advantage of more than 6 times increase in average query performance and owned up to 720% performance improvement in responding to the single testing item.
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Galaxybase Pioneer Benchmarking
Release Date: 2021-01-12
This benchmark examines the data loading and query performance of Galaxybase Pioneer, Tigergraph, Neo4j, HugeGraph, and Nebula Graph:
Storage:Galaxybase takes 1/2 the storage size that Neo4j and Nebula demand, and 1/8 that HugeGraph demands.
Query:Galaxybase is 2x-1000x faster than the other counterparts in K-hop path queries, and the advantage becomes greater as the size of data and the number of hops increase.
SP:Galaxybase is 6x faster than the other counterparts in the Shortest Path Queries.
Algorithm:Galaxybase Pioneer outclasses the other graph databases in terms of algorithm support. It is 3x to 6x faster in PageRank algorithm, 2x to 20x faster in Weakly Connected Components, 6x to 10x faster in Label Propagation than the other databases.
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Galaxybase VS Neo4j
Release Date:2022-01-25
This benchmark examines the data loading and query performance of Galaxybase and Neo4j in the following areas:
Query:Galaxybase outclasses Neo4j in K-hop path query, and the advantage becomes greater as the size of data and the number of hops increase.
SP:Galaxybase is 9x faster than Neo4j in the shortest path queries.
Algorithm:In comparison with Neo4j, Galaxybase is 4x-8x faster in PageRank algorithm, 6x to 10x faster than in Weakly Connected Components, and 18x faster in Label Propagation.
Read and Write Performance:Galaxybase outperforms Neo4j in read/write stress testing by orders of magnitude.
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Galaxybase Enterprise
Release Date: 2022-01-20
This benchmark examines the data loading and query performance of Galaxybase Enterprise, Tigergraph, Nebula, and JanusGraph in the following areas:
Query: Galaxybase outclasses the other counterparts in K-hop path query, and the advantage becomes greater as the size of data and the number of hops increase.
SP:Galaxybase is faster than the other graph databases by orders of magnitude across all the shortest path queries.
Algorithm:In comparison with Tiger, Galaxybase is 4x-10x faster in PageRank algorithm, 4x-5x faster in Weakly Connected Components, and 2x-3x faster in Label Propagation.
Read and Write Performance: Galaxybase outperforms the other graph databases in terms of 100 concurrent executions.
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