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DBMS > Dgraph vs. GridDB vs. TinkerGraph vs. ToroDB vs. VelocityDB

System Properties Comparison Dgraph vs. GridDB vs. TinkerGraph vs. ToroDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonToroDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSScalable in-memory time series database optimized for IoT and Big DataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA MongoDB-compatible JSON document store, built on top of PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMSTime Series DBMSGraph DBMSDocument storeGraph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitedgraph.iogriddb.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­torodb/­servervelocitydb.com
Technical documentationdgraph.io/­docsdocs.griddb.netvelocitydb.com/­UserGuide
DeveloperDgraph Labs, Inc.Toshiba Corporation8KdataVelocityDB Inc
Initial release20162013200920162011
Current release5.1, August 20227.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoAGPL-V3commercial
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 languageGoC++JavaJavaC#
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java 7 VMAny that supports .NET
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes infostring, integer, double, boolean, date, object_idyes
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.nonononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
TinkerPop 3.Net
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
.Net
Server-side scripts infoStored proceduresnononono
TriggersnoyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesoptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users can be defined per databasenoAccess rights for users and rolesBased on Windows Authentication
More information provided by the system vendor
DgraphGridDBTinkerGraphToroDBVelocityDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphGridDBTinkerGraphToroDBVelocityDB
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