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DBMS > Apache Phoenix vs. DataFS vs. PlanetScale vs. SAP SQL Anywhere

System Properties Comparison Apache Phoenix vs. DataFS vs. PlanetScale vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonPlanetScale  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
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.Scalable, distributed, serverless MySQL database platform built on top of VitessRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitephoenix.apache.orgnewdatabase.complanetscale.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationphoenix.apache.orgdev.mobiland.com/­Overview.xspplanetscale.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software FoundationMobiland AGPlanetScaleSAP infoformerly Sybase
Initial release2014201820201992
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsLinux
Unix
Windows
WindowsDocker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
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)yesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyes
APIs and other access methodsJDBC.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxyes, in C/C++, Java, .Net or Perl
Triggersnono, except callback-events from server when changes happenedyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication infoDatabase mirroring
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfileUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Apache PhoenixDataFSPlanetScaleSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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