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DBMS > Neo4j vs. OrigoDB vs. PlanetScale vs. TerarkDB

System Properties Comparison Neo4j vs. OrigoDB vs. PlanetScale vs. TerarkDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of VitessA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMSDocument store
Object oriented DBMS
Relational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteneo4j.comorigodb.complanetscale.comgithub.com/­bytedance/­terarkdb
Technical documentationneo4j.com/­docsorigodb.com/­docsplanetscale.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperNeo4j, Inc.Robert Friberg et alPlanetScaleByteDance, originally Terark
Initial release20072009 infounder the name LiveDB20202016
Current release5.20, May 2024
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Sourcecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC#GoC++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Docker
Linux
macOS
Data schemeschema-free and schema-optionalyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infocan be achieved using .NETno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsno
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
C++ API
Java API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes infoproprietary syntaxno
Triggersyes infovia event handleryes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in graphsdepending on modelyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role based authorizationUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
Neo4jOrigoDBPlanetScaleTerarkDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Neo4jOrigoDBPlanetScaleTerarkDB
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