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Arangodb performance4/16/2023 ![]() ![]() Main praises include the reasonable price, quick-installation, and that it is user-friendly. The main criticism of reviews seems to be the desire for more robust documentation. The majority of the reviews are very positive, and it should be noted that the last average review was from June 2016, so it seems like OrientDB is doing a stand-up job of fixing bugs and deploying fully-developed features. ![]() There are 33 user reviews on G2 with an average rating of 4/5 stars. It does not simply “add layers for additional models, resulting in decreased performance.” It is open-sourced, but commercial support is available from OrientDB as well.Īccording to their website, OrientDB provides the service of a graph database system without the need to “deploy multiple systems to handle other data types.” This method serves to increase “performance and security while supporting scalability.” OrientDB differentiates itself from the many graph database systems by managing a multi-model system by design. OrientDB is implemented with Java, so it can be run on all operating systems with a Java JDK ≥ JDK6. Gremlin and SQL queries are both supported for graph traversal. It supports schema-less, schema-full, and schema-mixed modes. OrientDB is a schema-free multi-model database system supporting graph, document, key/value, and object models. Net, C, C#, C++, Clojure, Java, JavaScript, JavaScript(Node.js), PHP, Python, Ruby, and Scala. To get more developers to buy-in to the multi-model approach, ArangoDB needs to continually evolve and innovate.Initially released in 2010, OrientDB supports many programming languages including. ![]() The feedback we receive from this benchmark enables us to improve by listening and reacting to community opinion. Our findings illustrate again that native multi-model ArangoDB not only competes, but frequently outperforms single-model. The full open source NoSQL performance benchmark is available here with full details about data, machines, software and tests.Ĭlaudius Weinberger, CEO of ArangoDB, said: “One of our main objectives, when conducting the benchmark, is to demonstrate that a native multi-model database can compete with single-model databases on their home turf. Since the last benchmark, OrientDB hasn’t improved and is slower by 20x.įurther benchmark results include neighbors search and neighbors with profile data, shortest path and memory usage. For the same task, but with data stored as a JSONB document, PostgreSQL needed more time when compared to MongoDB and more than twice the time when compared to ArangoDB. As expected, PostgreSQL, as the representative of the relational world, demonstrated the best performance with 0.3sec (but only when the data was stored as tabular). 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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