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DBMS > Microsoft Azure Table Storage vs. PlanetScale vs. Rockset vs. TimescaleDB

System Properties Comparison Microsoft Azure Table Storage vs. PlanetScale vs. Rockset vs. TimescaleDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparisonRockset  Xexclude from comparisonTimescaleDB  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 scalable, reliable search and analytics service in the cloud, built on RocksDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.comrockset.comwww.timescale.com
Technical documentationplanetscale.com/­docsdocs.rockset.comdocs.timescale.com
DeveloperMicrosoftPlanetScaleRocksetTimescale
Initial release2012202020192017
Current release2.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C
Server operating systemshostedDocker
Linux
macOS
hostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 infoingestion from XML files supportedyes
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsRead-only SQL queries, including JOINsyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingAutomatic shardingyes, across time and space (hash partitioning) attributes
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
yesSource-replica replication with hot standby and reads on replicas info
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
Eventual ConsistencyImmediate Consistency
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 levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.noyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Microsoft Azure Table StoragePlanetScaleRocksetTimescaleDB
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