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DBMS > Badger vs. Oracle Coherence vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Badger vs. Oracle Coherence vs. Percona Server for MongoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Oracles in-memory data grid solutionA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.oracle.com/­java/­coherencewww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsOraclePerconaApache Software Foundation
Initial release2017200720152014
Current release14.1, August 20233.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsJCache
JPA
RESTful HTTP API
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesGo.Net
C++
Java
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
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnoyes infoLive Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineno
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationAccess rights for users and rolesno

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More resources
BadgerOracle CoherencePercona Server for MongoDBSpark SQL
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