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DBMS > Microsoft Azure Table Storage vs. openGauss vs. PostgreSQL vs. ToroDB

System Properties Comparison Microsoft Azure Table Storage vs. openGauss vs. PostgreSQL vs. ToroDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgreSQL  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelWide column storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesgitee.com/­opengauss
opengauss.org
www.postgresql.orggithub.com/­torodb/­server
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgresql.org/­docs
DeveloperMicrosoftHuawei and openGauss communityPostgreSQL Global Development Group infowww.postgresql.org/­developer8Kdata
Initial release201220191989 info1989: Postgres, 1996: PostgreSQL2016
Current release3.0, March 202216.4, August 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSDOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC, C++, JavaCJava
Server operating systemshostedLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyes
SQL infoSupport of SQLnoANSI SQL 2011yes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)partitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Microsoft Azure Table StorageopenGaussPostgreSQLToroDB
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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