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DBMS > GeoSpock vs. HBase vs. Spark SQL vs. Splice Machine vs. STSdb

System Properties Comparison GeoSpock vs. HBase vs. Spark SQL vs. Splice Machine vs. STSdb

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplice Machine  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 BigTableSpark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSKey-value store
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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegeospock.comhbase.apache.orgspark.apache.org/­sqlsplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-works
DeveloperGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSplice MachineSTS Soft SC
Initial release2008201420142011
Current release2.0, September 20192.3.4, January 20213.5.0 ( 2.13), September 20233.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaScalaJavaC#
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
OS X
Solaris
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.nonono
Secondary indexestemporal, categoricalnonoyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanoyes infoJavano
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
GeoSpockHBaseSpark SQLSplice MachineSTSdb
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