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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHBase  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.Wide-column store based on Apache Hadoop and on concepts of BigTableA 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
Wide column storeDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.46
Rank#21  Overall
#2  Wide column stores
Score0.52
Rank#205  Overall
#30  Document stores
Score0.64
Rank#187  Overall
#90  Relational DBMS
Websitehbase.apache.orgwww.percona.com/­software/­mongo-database/­percona-server-for-mongodbwww.yugabyte.com
Technical documentationhbase.apache.orgwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperFatCloudApache Software Foundation infoApache top-level project, originally developed by PowersetPerconaYugaByte
Initial release2012200820152017
Current release2.2.0, June 20193.4.10-2.10, November 20171.2, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open 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#JavaC++C and C++
Server operating systemsWindowsLinux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Data schemeschema-freeschema-free, schema definition possibleschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyes, PostgreSQL compatible
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSONYCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#C
C#
C++
Groovy
Java
PHP
Python
Scala
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 applicationsyes infoCoprocessors in JavaJavaScriptno
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-master replication
Master-slave replication
Master-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual ConsistencyEventual 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 datanoSingle row ACID (across millions of columns)noACID
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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and rolesyes

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More resources
FatDBHBasePercona Server for MongoDBYugaByte DB
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