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DBMS > Badger vs. EsgynDB vs. Geode vs. GigaSpaces vs. Percona Server for MongoDB

System Properties Comparison Badger vs. EsgynDB vs. Geode vs. GigaSpaces vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value storeRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.esgyn.cngeode.apache.orgwww.gigaspaces.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergeode.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperDGraph LabsEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Gigaspaces TechnologiesPercona
Initial release20172015200220002015
Current release1.1, February 201715.5, September 20203.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJavaJava, C++, .NetC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoXML can be used for describing objects metadatano
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesSQL-like query language (OQL)SQL-99 for query and DML statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
proprietary protocol using JSON
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
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
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyesJavaScript
Triggersnonoyes infoCache Event Listenersyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infovia In-Memory Engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights per client and object definableRole-based access controlAccess rights for users and roles

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More resources
BadgerEsgynDBGeodeGigaSpacesPercona Server for MongoDB
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