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DBMS > Apache Impala vs. GeoSpock vs. OpenQM vs. Tibero vs. Valentina Server

System Properties Comparison Apache Impala vs. GeoSpock vs. OpenQM vs. Tibero vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTibero  Xexclude from comparisonValentina Server  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleQpenQM is a high-performance, self-tuning, multi-value DBMSA secure RDBMS, designed for easy portability from OracleObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score1.46
Rank#151  Overall
#70  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websiteimpala.apache.orggeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmus.tmaxsoft.com/­products/­tiberowww.valentina-db.net
Technical documentationimpala.apache.org/­impala-docs.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockRocket Software, originally Martin PhillipsTmaxSoftParadigma Software
Initial release2013199320031999
Current release4.1.0, June 20222.0, September 20193.4-127, September 20225.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2, extended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC and Assembler
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes infowith some exceptionsyesyes
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.nonoyesyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)noyesyes
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesPersistent Stored Procedure (PSM)yes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyeshorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono infoplanned for next versionyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard

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More resources
Apache ImpalaGeoSpockOpenQM infoalso called QMTiberoValentina Server
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Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera brings Apache Iceberg data lake format to its Data Platform
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16 May 2018, ExchangeWire

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20 October 2020, CoinGeek

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[Herald Interview] TmaxTibero eyes global expansion with certified DBMS tech
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