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DBMS > Microsoft Azure SQL Database vs. PostgreSQL vs. PouchDB vs. Quasardb vs. Vertica

System Properties Comparison Microsoft Azure SQL Database vs. PostgreSQL vs. PouchDB vs. Quasardb vs. Vertica

Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostgreSQL  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries databaseCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.postgresql.orgpouchdb.comquasar.aiwww.vertica.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.postgresql.org/­docspouchdb.com/­guidesdoc.quasar.ai/­mastervertica.com/­documentation
DeveloperMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationquasardbOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20101989 info1989: Postgres, 1996: PostgreSQL201220092005
Current releaseV1216.3, May 20247.1.1, June 20193.14.1, January 202412.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaScriptC++C++
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binaryyes
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.yesyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyes infovia viewsyes infowith tagsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyes infostandard with numerous extensionsnoSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScriptnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factorMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integrationno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzurePostgreSQLPouchDBQuasardbVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
Microsoft Azure SQL Database infoformerly SQL AzurePostgreSQLPouchDBQuasardbVertica infoOpenText™ Vertica™
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