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DBMS > Graph Engine vs. NebulaGraph vs. openGauss vs. Titan

System Properties Comparison Graph Engine vs. NebulaGraph vs. openGauss vs. Titan

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonNebulaGraph  Xexclude from comparisonopenGauss  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed, linear scalable, high perfomant Graph DBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
Key-value store
Graph DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.graphengine.iogithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
gitee.com/­opengauss
opengauss.org
github.com/­thinkaurelius/­titan
Technical documentationwww.graphengine.io/­docs/­manualdocs.nebula-graph.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
github.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftVesoft Inc.Huawei and openGauss communityAurelius, owned by DataStax
Initial release2010201920192012
Current release3.0, March 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0 + Common Clause 1.0Open SourceOpen Source infoApache license, version 2.0
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.
Implementation language.NET and CC++C, C++, JavaJava
Server operating systems.NETLinuxLinuxLinux
OS X
Unix
Windows
Data schemeyesStrong typed schemayesyes
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 indexesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yesyes
SQL infoSupport of SQLnoSQL-like query languageANSI SQL 2011no
APIs and other access methodsRESTful HTTP APIBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C++
Go
Java
PHP
Python
C
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning (by range, list and hash)yes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocolSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infousing RocksDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Graph Engine infoformer name: TrinityNebulaGraphopenGaussTitan
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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Graph Engine infoformer name: TrinityNebulaGraphopenGaussTitan
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
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Trinity
30 October 2010, Microsoft

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