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DBMS > EsgynDB vs. Geode vs. HBase vs. Percona Server for MongoDB

System Properties Comparison EsgynDB vs. Geode vs. HBase vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonHBase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionEnterprise-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 processesWide-column store based on Apache Hadoop and on concepts of BigTableA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSKey-value storeWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.55
Rank#253  Overall
#39  Document stores
Websitewww.esgyn.cngeode.apache.orghbase.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgeode.apache.org/­docshbase.apache.org/­book.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation infoApache top-level project, originally developed by PowersetPercona
Initial release2015200220082015
Current release1.1, February 20172.3.4, January 20213.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Unix
Windows infousing Cygwin
Linux
Data schemeyesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesSQL-like query language (OQL)nono
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Groovy
Java
PHP
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 proceduresJava Stored Proceduresuser defined functionsyes infoCoprocessors in JavaJavaScript
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles

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More resources
EsgynDBGeodeHBasePercona Server for MongoDB
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