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DBMS > BigObject vs. Neo4j vs. openGauss vs. Realm

System Properties Comparison BigObject vs. Neo4j vs. openGauss vs. Realm

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonNeo4j  Xexclude from comparisonopenGauss  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable, 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 HuaweiA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitebigobject.ioneo4j.comgitee.com/­opengauss
opengauss.org
realm.io
Technical documentationdocs.bigobject.ioneo4j.com/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
realm.io/­docs
DeveloperBigObject, Inc.Neo4j, Inc.Huawei and openGauss communityRealm, acquired by MongoDB in May 2019
Initial release2015200720192014
Current release5.20, May 20243.0, March 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version3, commercial licenses availableOpen 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++, Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL 2011no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresLuayes infoUser defined Procedures and Functionsyesno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes infovia event handleryesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j Fabrichorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realm
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
BigObjectNeo4jopenGaussRealm
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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