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DBMS > DataFS vs. Percona Server for MongoDB vs. RocksDB vs. Splice Machine

System Properties Comparison DataFS vs. Percona Server for MongoDB vs. RocksDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitenewdatabase.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrocksdb.orgsplicemachine.com
Technical documentationdev.mobiland.com/­Overview.xspdocs.percona.com/­percona-distribution-for-mongodbgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperMobiland AGPerconaFacebook, Inc.Splice Machine
Initial release2018201520132014
Current release1.1.263, October 20223.4.10-2.10, November 20179.4.0, June 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsWindowsLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
proprietary protocol using JSONC++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
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++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptnoyes infoJava
Triggersno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyesyes
User concepts infoAccess controlWindows-ProfileAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
DataFSPercona Server for MongoDBRocksDBSplice Machine
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