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DBMS > GeoSpock vs. HBase vs. Spark SQL vs. STSdb vs. UniData,UniVerse

System Properties Comparison GeoSpock vs. HBase vs. Spark SQL vs. STSdb vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTableSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSWide column storeRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegeospock.comhbase.apache.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhbase.apache.org/­book.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSTS Soft SCRocket Software
Initial release2008201420111985
Current release2.0, September 20192.3.4, January 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScalaC#C
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
WindowsAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes infoprimitive types and user defined types (classes)optional
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.nonono
Secondary indexestemporal, categoricalnononoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
JDBC
ODBC
.NET Client APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C#
Java
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanonoyes
Triggersnoyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)nonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonoAccess rights according to SQL-standard and operating system based

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More resources
GeoSpockHBaseSpark SQLSTSdbUniData,UniVerse
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