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DBMS > Apache Impala vs. EsgynDB vs. Geode vs. Percona Server for MongoDB

System Properties Comparison Apache Impala vs. EsgynDB vs. Geode vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-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 processesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.55
Rank#253  Overall
#39  Document stores
Websiteimpala.apache.orgwww.esgyn.cngeode.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Percona
Initial release2013201520022015
Current release4.1.0, June 20221.1, February 20173.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen 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++C++, JavaJavaC++
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
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 proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresuser defined functionsJavaScript
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
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.nonoyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users and roles

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More resources
Apache ImpalaEsgynDBGeodePercona Server for MongoDB
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