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DBMS > Dgraph vs. GridGain vs. IBM Db2 warehouse vs. JanusGraph vs. KairosDB

System Properties Comparison Dgraph vs. GridGain vs. IBM Db2 warehouse vs. JanusGraph vs. KairosDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteCloud-based data warehousing serviceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Distributed Time Series DBMS based on Cassandra or H2
Primary database modelGraph DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitedgraph.iowww.gridgain.comwww.ibm.com/­products/­db2/­warehousejanusgraph.orggithub.com/­kairosdb/­kairosdb
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgkairosdb.github.io
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.IBMLinux Foundation; originally developed as Titan by Aurelius
Initial release20162007201420172013
Current releaseGridGain 8.5.10.6.3, February 20231.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesnono
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
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)PL/SQL, SQL PLyesno
Triggersnoyes (cache interceptors and events)yesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)yesyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 datayesyesyesyesyes
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.yesyesno
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 Serversimple password-based access control

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More resources
DgraphGridGainIBM Db2 warehouse infoformerly named IBM dashDBJanusGraph infosuccessor of TitanKairosDB
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