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DBMS > Apache Phoenix vs. DataFS vs. EDB Postgres vs. GeoSpock vs. Yanza

System Properties Comparison Apache Phoenix vs. DataFS vs. EDB Postgres vs. GeoSpock vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonYanza  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Spatial and temporal data processing engine for extreme data scaleTime Series DBMS for IoT Applications
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Websitephoenix.apache.orgnewdatabase.comwww.enterprisedb.comgeospock.comyanza.com
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xspwww.enterprisedb.com/­docs
DeveloperApache Software FoundationMobiland AGEnterpriseDBGeoSpockYanza
Initial release2014201820052015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 202214, December 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoBSD for PostgreSQL-componentscommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, Javascript
Server operating systemsLinux
Unix
Windows
WindowsLinux
Windows
hostedWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyestemporal, categoricalno
SQL infoSupport of SQLyesnoyes infostandard with numerous extensionsANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCHTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnono, except callback-events from server when changes happenedyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemhorizontal partitioning infoby hash, list or rangeAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnonono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-Profilefine grained access rights according to SQL-standardAccess rights for users can be defined per tableno

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More resources
Apache PhoenixDataFSEDB PostgresGeoSpockYanza
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