Difference Between OrientDB vs Neo4j
Orient DB and Neo4j are both databases used to store non-relational databases. Neo4j is mostly popular for storing graph-related data that contains multiple nodes in it. The performance for storing the graphical data is very high and along with that the features like robustness structured matured over time and improvised, ACID properties followed by transactions and friendly query language to manage the data adds up to its advantages.
OrientDB is the multimodel database that can be used for storing NoSQL data. This DBMS is written in java and supports not only graphs but also key-value pairs, object models and there is a direct connection in all the records being stored. In this article, we will study the major differences between these two DBMS using comparison tables.
Head to Head Comparison Between OrientDB vs Neo4j (Infographics)
Below is the Top Comparison Between OrientDB vs Neo4j:
The following table illustrates the key points that add up to the differences between the two graph databases named OrientDB and Neo4j –
|OrientDB on the other hand is actually a multimodel DBMS that has Document, Graph, and key-value pairs to store the data.||Neo4j is a graph database that is available in cloud offerings and self-hosted format. This database is completely ACID-compliant and has high performance due to its architecture which is clustered distributively.|
|The primary model for storing database is Key-value store, graph DBMS, and document store.||The primary model for storing the database is a Graph database.|
|The DB engine rankings and trend charts show that overall rank is 80, document store rank is 12, key-value stores rank is 12, and rank 4 in graph DBMS with a score of 4.45.||The DB engine rankings and the trend charts show that the overall rank is 18 and 1 rank for graph DBMS with a total score of 55.75.|
|The official website of orientDB is this.||The official website of neo4j is this.|
|You can refer to this site for official documentation.||You can refer to this site for official documentation.|
|The developer of this technology is SAP, CallidusCloud and OrientDB ltd.||The developer of this DBMS is Neo4j, Inc.|
|This was first released in 2010.||This was first released in 2007.|
|The latest release of the OrientDB database is made in February 2021 which was the 3.1.9 version.||The latest release of Neo4j is 4.2.6 in May 2021.|
|This is also open source technology.||This is open source license approved.|
|Even this is not restricted to cloud-based applications.||It is not only restricted to cloud-based applications.|
|No such provision of the database as a service.||Database as a service provider is thereby using Neo4j Aura which is used for managing the cloud data. This has always on the graph and with zero admin provision for all the developers of the cloud.|
|The programming language used for implementing this DBMS is java.||The programming languages used for implementing this DBMS are Scala and java.|
|The operating system on the server-side can be all the operating systems that have Java JDK installed in it. Note that the version of JDK should be greater than 6.||The operating systems used on the server-side are OS X, Solaris, Windows, and Linux.|
|Only a schema-free data scheme is being implemented.||The data scheme used are schema optional and schema-free.|
|XML support is present in Orient DB.||There is no support for XML documents.|
|Though SQL-query-like languages is being supported, however, joins are not supported.||No support for SQL.|
|The access methods and APIs include java api, pipes, gremlin, JSON API, Restful API, pipes, tinkerpop technology stack with blueprints, and java api.||The access methods and APIs used include spring data neo4j, restful http api, java api, cypher query language, bolt protocol, tinkerpop3, and neo4j OGM.|
|The sharding method is used for doing the partitions.||The partitioning method followed is using Neo4j fabric technology.|
|The replication method used is Multi-source replication.||The methods used for replication include causal clustering with the use of raft protocol.|
|Triggers can be created by using the hooks in Orient DB.||Triggers can be used and created in DBMS.|
|N such consistency maintenance mechanism.||The consistency is maintained in Neo4J by using concepts like immediate consistency in stand-alone mode and causal and eventual consistency configuration in a causal cluster setup.|
|Support for transaction concepts, like ACID properties, concurrency, use of foreign keys, and durability.||Support for transaction concepts, like ACID properties, concurrency, use of foreign keys, and durability.|
|The security is configurable at the record level and the access rights can be granted and revoked for roles and users of the OrientDB DBMS.||The user concepts include pluggable authentication which comes along with supported standards like Active Directory, Kerberos, and LDAP. Roles, users, and their permissions can also be maintained.|
Choice of DBMS
You can either go for Neo4j or OrientDB DBMS for using it in your application. The parameters based on which you can choose between both of them is the purpose of storing the data and the type of data that you wish to store. The OrientDB is used for multimodel data which means it can be used for any given NoSQL database like maps and documents in key-value pair as well as graphs. But when it comes to the performance of your application, if you want to store the graphs then Neo4j is the better choice.
The performance of Neo4j while storing graphical database cannot be matched because it stored the nodes of the graph in a very optimized way which is not the case with OrientDB.
The Neo4J and OrientDB both are the DBMS that can be used to store the graphical, non-relational, and NoSQL databases. The choice of the database depends on your requirement to store the type of data for your application.
This is a guide to OrientDB vs Neo4j. Here we discuss OrientDB and Neo4j key differences with infographics and a comparison table. You may also have a look at the following articles to learn more –