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DBMS > Neo4j vs. openGauss vs. PouchDB vs. Riak TS

System Properties Comparison Neo4j vs. openGauss vs. PouchDB vs. Riak TS

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonopenGauss  Xexclude from comparisonPouchDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiJavaScript DBMS with an API inspired by CouchDBRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Websiteneo4j.comgitee.com/­opengauss
opengauss.org
pouchdb.com
Technical documentationneo4j.com/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
pouchdb.com/­guideswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperNeo4j, Inc.Huawei and openGauss communityApache Software FoundationOpen Source, formerly Basho Technologies
Initial release2007201920122015
Current release5.23, August 20243.0, March 20227.1.1, June 20193.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
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, C++, JavaJavaScriptErlang
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemeschema-free and schema-optionalyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nonono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infovia viewsrestricted
SQL infoSupport of SQLnoANSI SQL 2011noyes, limited
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Native Erlang Interface
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsyesView functions in JavaScriptErlang
Triggersyes infovia event handleryesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabrichorizontal partitioning (by range, list and hash)Sharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
Neo4jopenGaussPouchDBRiak TS
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
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