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DBMS > Apache Impala vs. Informix vs. MonetDB vs. OpenQM

System Properties Comparison Apache Impala vs. Informix vs. MonetDB vs. OpenQM

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInformix  Xexclude from comparisonMonetDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA relational database management system that stores data in columnsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSMultivalue DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websiteimpala.apache.orgwww.ibm.com/­products/­informixwww.monetdb.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationimpala.apache.org/­impala-docs.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.monetdb.org/­Documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MonetDB BVRocket Software, originally Martin Phillips
Initial release2013198420041993
Current release4.1.0, June 202214.10.FC5, November 2020Dec2023 (11.49), December 20233.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoMozilla Public License 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++ and JavaC
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes, in SQL, C, Ryes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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 KerberosUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Apache ImpalaInformixMonetDBOpenQM infoalso called QM
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