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DBMS > GeoSpock vs. HBase vs. Kdb vs. Spark SQL vs. STSdb

System Properties Comparison GeoSpock vs. HBase vs. Kdb vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonKdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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 BigTableHigh performance Time Series DBMSSpark 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 method
Primary database modelRelational DBMSWide column storeTime Series DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegeospock.comhbase.apache.orgkx.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlcode.kx.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcApache Software FoundationSTS Soft SC
Initial release20082000 infokdb was released 2000, kdb+ in 200320142011
Current release2.0, September 20192.3.4, January 20213.6, May 20183.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
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, JavascriptJavaqScalaC#
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Windows
Data schemeyesschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesyes infoprimitive types and user defined types (classes)
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.nonoyesno
Secondary indexestemporal, categoricalnoyes infotable attribute 'grouped'nono
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsnono
Triggersnoyesyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)nonono
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.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsnono
More information provided by the system vendor
GeoSpockHBaseKdbSpark SQLSTSdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GeoSpockHBaseKdbSpark SQLSTSdb
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