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DBMS > Apache Phoenix vs. PlanetScale vs. Postgres-XL vs. Realm vs. Transbase

System Properties Comparison Apache Phoenix vs. PlanetScale vs. Postgres-XL vs. Realm vs. Transbase

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable, distributed, serverless MySQL database platform built on top of VitessBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitephoenix.apache.orgplanetscale.comwww.postgres-xl.orgrealm.iowww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgplanetscale.com/­docswww.postgres-xl.org/­documentationrealm.io/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationPlanetScaleRealm, acquired by MongoDB in May 2019Transaction Software GmbH
Initial release201420202014 infosince 2012, originally named StormDB20141987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910 R1, October 2018Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMozilla public licenseOpen Sourcecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC and C++
Server operating systemsLinux
Unix
Windows
Docker
Linux
macOS
Linux
macOS
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infodistributed, parallel query executionnoyes
APIs and other access methodsJDBCADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnoyesyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACID infoMVCCACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesyesnoyes infoIn-Memory realmno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Apache PhoenixPlanetScalePostgres-XLRealmTransbase
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