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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPlanetScale  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 DBMSScalable, distributed, serverless MySQL database platform built on top of VitessObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteimpala.apache.orggeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmplanetscale.comwww.valentina-db.net
Technical documentationimpala.apache.org/­impala-docs.htmlplanetscale.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockRocket Software, originally Martin PhillipsPlanetScaleParadigma Software
Initial release2013199320201999
Current release4.1.0, June 20222.0, September 20193.4-125.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2, extended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptGo
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
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.nonoyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)noyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
MySQL protocol
ODBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Basic
C
Java
Objective C
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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-reducenoyesyes infoproprietary syntaxyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyesSharding
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyesyes
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 levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaGeoSpockOpenQM infoalso called QMPlanetScaleValentina Server
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