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DBMS > Apache Phoenix vs. GeoSpock

System Properties Comparison Apache Phoenix vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSpatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.10
Rank#106  Overall
#53  Relational DBMS
Score0.34
Rank#296  Overall
#135  Relational DBMS
Websitephoenix.apache.orggeospock.com
Technical documentationphoenix.apache.orgdocs.geospock.com/­Content/­Home.htm
DeveloperApache Software FoundationGeoSpock
Initial release2014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Javascript
Server operating systemsLinux
Unix
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyestemporal, categorical
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)
APIs and other access methodsJDBCJDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per table

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Apache PhoenixGeoSpock
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