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DBMS > GridDB vs. RethinkDB vs. Tigris vs. VelocityDB

System Properties Comparison GridDB vs. RethinkDB vs. Tigris vs. VelocityDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTigris  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDBMS for the Web with a mechanism to push updated query results to applications in realtime.A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSDocument storeDocument store
Key-value store
Search engine
Time Series DBMS
Graph DBMS
Object oriented DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitegriddb.netrethinkdb.comwww.tigrisdata.comvelocitydb.com
Technical documentationdocs.griddb.netrethinkdb.com/­docswww.tigrisdata.com/­docsvelocitydb.com/­UserGuide
DeveloperToshiba CorporationThe Linux Foundation infosince July 2017Tigris Data, Inc.VelocityDB Inc
Initial release2013200920222011
Current release5.1, August 20222.4.1, August 20207.x
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Windows
Any that supports .NET
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infostring, binary, float, bool, date, geometryyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
CLI Client
gRPC
RESTful HTTP API
.Net
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
.Net
Server-side scripts infoStored proceduresnonono
TriggersyesClient-side triggers through changefeedsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infousers and table-level permissionsAccess rights for users and rolesBased on Windows Authentication
More information provided by the system vendor
GridDBRethinkDBTigrisVelocityDB
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
GridDBRethinkDBTigrisVelocityDB
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