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DBMS > Apache Impala vs. Geode vs. Kingbase vs. MonetDB

System Properties Comparison Apache Impala vs. Geode vs. Kingbase vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeode  Xexclude from comparisonKingbase  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A relational database management system that stores data in columns
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteimpala.apache.orggeode.apache.orgwww.kingbase.com.cnwww.monetdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docswww.monetdb.org/­Documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BeiJing KINGBASE Information technologies inc.MonetDB BV
Initial release2013200219992004
Current release4.1.0, June 20221.1, February 2017V8.0, August 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and JavaC
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)Standard with numerous extensionsyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functionsyes, in SQL, C, R
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACID
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaGeodeKingbaseMonetDB
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