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DBMS > Apache Phoenix vs. EsgynDB vs. gStore vs. Heroic vs. TerarkDB

System Properties Comparison Apache Phoenix vs. EsgynDB vs. gStore vs. Heroic vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisongStore  Xexclude from comparisonHeroic  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA native Graph DBMS to store and maintain very large RDF datasets.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitephoenix.apache.orgwww.esgyn.cnen.gstore.cngithub.com/­spotify/­heroicgithub.com/­bytedance/­terarkdb
Technical documentationphoenix.apache.orgen.gstore.cn/­#/­enDocsspotify.github.io/­heroicbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationEsgynSpotifyByteDance, originally Terark
Initial release20142015201620142016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.2, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC++JavaC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP API
SPARQL 1.1
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
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.yesnononoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportedno

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More resources
Apache PhoenixEsgynDBgStoreHeroicTerarkDB
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, azure.microsoft.com

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Hortonworks Starts Hadoop Summit with Data Platform Update -- ADTmag
28 June 2016, ADT Magazine

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