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DBMS > Apache Phoenix vs. Fujitsu Enterprise Postgres vs. UniData,UniVerse vs. Yanza

System Properties Comparison Apache Phoenix vs. Fujitsu Enterprise Postgres vs. UniData,UniVerse vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.MultiValue database and application server with SQL mapping layer and meta database capabilitiesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitephoenix.apache.orgwww.postgresql.fastware.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatayanza.com
Technical documentationphoenix.apache.orgwww.postgresql.fastware.com/­product-manualsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyRocket SoftwareYanza
Initial release201419852015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageJavaCC
Server operating systemsLinux
Unix
Windows
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Basic infoU2 Basic
C
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesno
Triggersnoyesyes infoU2 Basicyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yes
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-standardAccess rights according to SQL-standard and operating system basedno
More information provided by the system vendor
Apache PhoenixFujitsu Enterprise PostgresUniData,UniVerseYanza
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache PhoenixFujitsu Enterprise PostgresUniData,UniVerseYanza
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