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DBMS > FatDB vs. GridDB vs. Percona Server for MongoDB vs. YugaByte DB

System Properties Comparison FatDB vs. GridDB vs. Percona Server for MongoDB vs. YugaByte DB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGridDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonYugaByte DB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable in-memory time series database optimized for IoT and Big DataA drop-in replacement for MongoDB Community Edition with enterprise-grade features.High-performance distributed SQL database for global, internet-scale applications
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#200  Overall
#10  Time Series DBMS
Score0.52
Rank#205  Overall
#30  Document stores
Score0.64
Rank#187  Overall
#90  Relational DBMS
Websitegriddb.netwww.percona.com/­software/­mongo-database/­percona-server-for-mongodbwww.yugabyte.com
Technical documentationgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.phpwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperFatCloudToshiba CorporationPerconaYugaByte
Initial release2012201320152017
Current release4.2, June 20193.4.10-2.10, November 20171.2, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL Version 2Open Source infoApache 2.0, enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++C++C and C++
Server operating systemsWindowsLinuxLinuxLinux
OS X
Data schemeschema-freeyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)noyes, PostgreSQL compatible
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocolproprietary protocol using JSONYCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnoJavaScriptno
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replicationMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per databaseAccess rights for users and rolesyes
More information provided by the system vendor
FatDBGridDBPercona Server for MongoDBYugaByte DB
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
FatDBGridDBPercona Server for MongoDBYugaByte DB
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