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DBMS > DataFS vs. Interbase vs. Microsoft Azure Table Storage vs. PlanetScale

System Properties Comparison DataFS vs. Interbase vs. Microsoft Azure Table Storage vs. PlanetScale

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionAll 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.Light-weight proven RDBMS infooriginally from BorlandA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelObject oriented DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitenewdatabase.comwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.com
Technical documentationdev.mobiland.com/­Overview.xspdocs.embarcadero.com/­products/­interbaseplanetscale.com/­docs
DeveloperMobiland AGEmbarcaderoMicrosoftPlanetScale
Initial release2018198420122020
Current release1.1.263, October 2022InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemsWindowsAndroid
iOS
Linux
OS X
Windows
hostedDocker
Linux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes
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.nono infoexport as XML data possibleno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languagenoyes infoproprietary syntax
Triggersno, except callback-events from server when changes happenedyesnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes infotable locks or row locks depending on storage engine
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.noyesnoyes
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or roles

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More resources
DataFSInterbaseMicrosoft Azure Table StoragePlanetScale
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