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DBMS > GridDB vs. Microsoft Azure Table Storage vs. MongoDB

System Properties Comparison GridDB vs. Microsoft Azure Table Storage vs. MongoDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA Wide Column Store for rapid development using massive semi-structured datasetsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSWide column storeDocument store
Secondary database modelsKey-value store
Relational DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#205  Overall
#11  Time Series DBMS
Score5.51
Rank#61  Overall
#5  Wide column stores
Score443.48
Rank#5  Overall
#1  Document stores
Websitegriddb.netazure.microsoft.com/­en-us/­services/­storage/­tableswww.mongodb.com
Technical documentationdocs.griddb.netdocs.mongodb.com/­manual
DeveloperToshiba CorporationMicrosoftMongoDB, Inc
Initial release201320122009
Current release4.5, June 20204.2.8, June 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++C++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocolRESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresnonoJavaScript
Triggersyesnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container leveloptimistic lockingMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles
More information provided by the system vendor
GridDBMicrosoft Azure Table StorageMongoDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsGitHub trending repository
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBMicrosoft Azure Table StorageMongoDB
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