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DBMS > Microsoft Azure Table Storage vs. PlanetScale vs. SQream DB vs. TimesTen

System Properties Comparison Microsoft Azure Table Storage vs. PlanetScale vs. SQream DB vs. TimesTen

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparisonSQream DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of Vitessa GPU-based, columnar RDBMS for big data analytics workloadsIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.comsqream.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationplanetscale.com/­docsdocs.sqream.comdocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftPlanetScaleSQream TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012202020171998
Current release2022.1.6, December 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, CUDA, Haskell, Java, Scala
Server operating systemshostedDocker
Linux
macOS
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
.Net
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.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
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxuser defined functions in PythonPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
noneMulti-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Table StoragePlanetScaleSQream DBTimesTen
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