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DBMS > Dgraph vs. GridGain vs. JanusGraph vs. KairosDB vs. Microsoft Azure Table Storage

System Properties Comparison Dgraph vs. GridGain vs. JanusGraph vs. KairosDB vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGridGain 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 2017Distributed Time Series DBMS based on Cassandra or H2A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMSKey-value store
Relational DBMS
Graph DBMSTime Series DBMSWide column store
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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitedgraph.iowww.gridgain.comjanusgraph.orggithub.com/­kairosdb/­kairosdbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgkairosdb.github.io
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release20162007201720132012
Current releaseGridGain 8.5.10.6.3, February 20231.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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
Linux
OS X
Unix
Windows
Linux
OS X
Windows
hosted
Data schemeschema-freeyesyesschema-freeschema-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.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnonono
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
HTTP REST
Telnet API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesnono
Triggersnoyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on CassandraSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)yesselectable replication factor infobased on Cassandrayes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph Serversimple password-based access controlAccess rights based on private key authentication or shared access signatures

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More resources
DgraphGridGainJanusGraph infosuccessor of TitanKairosDBMicrosoft Azure Table Storage
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