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DBMS > GridDB vs. MongoDB vs. TiDB

System Properties Comparison GridDB vs. MongoDB vs. TiDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMongoDB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelTime Series DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#219  Overall
#12  Time Series DBMS
Score437.08
Rank#5  Overall
#1  Document stores
Score1.82
Rank#121  Overall
#59  Relational DBMS
Websitegriddb.netwww.mongodb.compingcap.com
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpdocs.mongodb.com/­manualpingcap.com/­docs
DeveloperToshiba CorporationMongoDB, IncPingCAP, Inc.
Initial release201320092016
Current release4.2, June 20194.2.7, May 20203.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
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++Go, Rust
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-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.yes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)Read-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsProprietary protocolproprietary protocol using JSONJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keyshorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and rolesUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
GridDBMongoDBTiDB
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
TiDB is an open source distributed scalable hybrid transactional and analytical processing...
» 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
In the current database landscape, infrastructure engineers often have to use one...
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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
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» 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
Bank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsGitHub trending repository
» more
70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
InfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» 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
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

TiDB Dashboard: Easier Troubleshooting for Distributed Databases
28 May 2020

Pessimistic Locking: Better MySQL Compatibility, Fewer Rollbacks Under High Load
22 May 2020

TiCDC: Replication Latency in Milliseconds for 100+ TB Clusters
20 May 2020

Large Transactions in TiDB
15 May 2020

TiDB at ZaloPay Infrastructure & Lesson Learned
11 May 2020

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GridDBMongoDBTiDB
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