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DBMS > Dgraph vs. Dolt vs. GridGain vs. JanusGraph

System Properties Comparison Dgraph vs. Dolt vs. GridGain vs. JanusGraph

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDolt  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA MySQL compatible DBMS with Git-like versioning of data and schemaGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitedgraph.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.gridgain.comjanusgraph.org
Technical documentationdgraph.io/­docsdocs.dolthub.comwww.gridgain.com/­docs/­index.htmldocs.janusgraph.org
DeveloperDgraph Labs, Inc.DoltHub IncGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release2016201820072017
Current releaseGridGain 8.5.10.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 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 languageGoGoJava, C++, .NetJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
CLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yes
User concepts infoAccess controlno infoPlanned for future releasesOnly one user is configurable, and must be specified in the config file at startupSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph Server

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More resources
DgraphDoltGridGainJanusGraph infosuccessor of Titan
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