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DBMS > Dgraph vs. GridGain vs. Ingres vs. JanusGraph vs. ToroDB

System Properties Comparison Dgraph vs. GridGain vs. Ingres vs. JanusGraph vs. ToroDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonIngres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteWell established RDBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitedgraph.iowww.gridgain.comwww.actian.com/­databases/­ingresjanusgraph.orggithub.com/­torodb/­server
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.actian.com/­ingresdocs.janusgraph.org
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.Actian CorporationLinux Foundation; originally developed as Titan by Aurelius8Kdata
Initial release201620071974 infooriginally developed at University Berkely in early 1970s20172016
Current releaseGridGain 8.5.111.2, May 20220.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetCJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.noyesno infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesyes
Triggersnoyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)Ingres ReplicatoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights for users and roles

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More resources
DgraphGridGainIngresJanusGraph infosuccessor of TitanToroDB
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