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DBMS > Apache Phoenix vs. GBase vs. GeoSpock vs. Heroic

System Properties Comparison Apache Phoenix vs. GBase vs. GeoSpock vs. Heroic

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonHeroic  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitephoenix.apache.orgwww.gbase.cngeospock.comgithub.com/­spotify/­heroic
Technical documentationphoenix.apache.orgspotify.github.io/­heroic
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.GeoSpockSpotify
Initial release201420042014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019GBase 8a, GBase 8s, GBase 8c2.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJava, JavascriptJava
Server operating systemsLinux
Unix
Windows
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyestemporal, categoricalyes infovia Elasticsearch
SQL infoSupport of SQLyesStandard with numerous extensionsANSI SQL for query only (using Presto)no
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesAccess rights for users can be defined per table

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More resources
Apache PhoenixGBaseGeoSpockHeroic
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Recent citations in the news

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