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DBMS > Derby vs. Percona Server for MongoDB vs. RDF4J vs. Spark SQL vs. STSdb

System Properties Comparison Derby vs. Percona Server for MongoDB vs. RDF4J vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSDocument storeRDF storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitedb.apache.org/­derbywww.percona.com/­mongodb/­software/­percona-server-for-mongodbrdf4j.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.percona.com/­percona-distribution-for-mongodbrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationPerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationSTS Soft SC
Initial release19972015200420142011
Current release10.17.1.0, November 20233.4.10-2.10, November 20173.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL Version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScalaC#
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.yesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCproprietary protocol using JSONJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
.NET Client API
Supported programming languagesJavaActionscript
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
PHP
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresJava Stored ProceduresJavaScriptyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
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 controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonono

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBPercona Server for MongoDBRDF4J infoformerly known as SesameSpark SQLSTSdb
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