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DBMS > FatDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. YugaByte DB

System Properties Comparison FatDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MongoDB vs. YugaByte DB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database serviceA 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
Document store
Graph DBMS
Key-value store
Wide column store
Document storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.43
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.52
Rank#205  Overall
#30  Document stores
Score0.64
Rank#187  Overall
#90  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.percona.com/­software/­mongo-database/­percona-server-for-mongodbwww.yugabyte.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperFatCloudMicrosoftPerconaYugaByte
Initial release2012201420152017
Current release3.4.10-2.10, November 20171.2, March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2Open Source infoApache 2.0, enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++C and C++
Server operating systemsWindowshostedLinuxLinux
OS X
Data schemeschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes
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 indexesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSONYCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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 applicationsJavaScriptJavaScriptno
Triggersyes infovia applicationsJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual 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 datanoMulti-item ACID transactions with snapshot isolation within a partitionnoACID
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.yes infovia In-Memory Engineno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights can be defined down to the item levelAccess rights for users and rolesyes

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More resources
FatDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MongoDBYugaByte DB
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