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DBMS > FatDB vs. Percona Server for MongoDB vs. Spark SQL vs. YugaByte DB

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processingHigh-performance distributed SQL database for global, internet-scale applications
Primary database modelDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#205  Overall
#30  Document stores
Score16.70
Rank#35  Overall
#21  Relational DBMS
Score0.64
Rank#187  Overall
#90  Relational DBMS
Websitewww.percona.com/­software/­mongo-database/­percona-server-for-mongodbspark.apache.org/­sqlwww.yugabyte.com
Technical documentationwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperFatCloudPerconaApache Software FoundationYugaByte
Initial release2012201520142017
Current release3.4.10-2.10, November 2017v2.4.4, September 20191.2, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open Source infoApache 2.0Open 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++ScalaC and C++
Server operating systemsWindowsLinuxLinux
OS X
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsyes, PostgreSQL compatible
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
proprietary protocol using JSONJDBC
ODBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#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
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsJavaScriptnono
Triggersyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate 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 datanononoACID
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 Enginenono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users and rolesnoyes

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More resources
FatDBPercona Server for MongoDBSpark SQLYugaByte DB
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