![]() It did not put a secondary index for this attribute on any of the databases, so they all had to perform a full collection scan and do counting statistics – a typical ad-hoc query to perform.Ĭomputing the aggregation in ArangoDB took on average 1.07sec. It computed statistics about age distribution in the network by counting which age occurs most frequently. It aggregated over a single collection (1,632,803 documents). To test aggregation, the benchmark analysed age distribution in a social network. Note, lower percentages indicate higher throughput, higher percentages indicate lower throughput. In fundamental queries like Single Read, Single Write and Single Write Sync, ArangoDB achieved positive results and outperformed PostgreSQL. The benchmark results below demonstrate how a multi-model database competes and often outperforms single-model databases in their speciality. The operating system for the servers was Ubuntu 16.04, including the OS-patch 4.4.0-1049-aws - this includes Meltdown and Spectre V1 patches. The latest GA versions (as of January 26, 2018) of database systems were used: Neo4j 3.3.1, MongoDB 3.6.1, PostgreSQL 10.1 (tabular & jsonb), OrientDB 2.2.29 and ArangoDB 3.3.3.Ī simple client/server set up was used, alongside instances AWS recommends for both relational and non-relational databases. Additionally, it tested ArangoDB against a multi-model database, OrientDB. The benchmark is completely open source and therefore driven by community input.įor the 2018 benchmark, three leading single-model database systems were compared against ArangoDB: Neo4j for graph MongoDB for document and PostgreSQL for relational database. The goal of the benchmark is to measure the performance of each database system when there is no cache used. To enable vendors to respond to the results and contribute improvements, ArangoDB has published the necessary scripts required to repeat the benchmark. ArangoDB, a provider of native multi-model NoSQL database solutions, announced the latest findings of its open source NoSQL performance benchmark series.
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