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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  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 scaleA widely adopted in-memory data gridWide-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 method
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
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
Websitegeospock.comhazelcast.comhbase.apache.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationhazelcast.org/­imdg/­docshbase.apache.org/­book.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeoSpockHazelcastApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSTS Soft SC
Initial release2008200820142011
Current release2.0, September 20195.3.6, November 20232.3.4, January 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open 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

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Implementation languageJava, JavascriptJavaJavaScalaC#
Server operating systemshostedAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes 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.noyes infothe object must implement a serialization strategynono
Secondary indexestemporal, categoricalyesnonono
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languagenoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Javanono
Triggersnoyes infoEventsyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)nono
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 tableRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
GeoSpockHazelcastHBaseSpark SQLSTSdb
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