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DBMS > Microsoft Azure SQL Database vs. Netezza vs. PouchDB vs. RavenDB

System Properties Comparison Microsoft Azure SQL Database vs. Netezza vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystemsJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezzapouchdb.comravendb.net
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlpouchdb.com/­guidesravendb.net/­docs
DeveloperMicrosoftIBMApache Software FoundationHibernating Rhinos
Initial release2010200020122010
Current releaseV127.1.1, June 20195.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoAGPL version 3, commercial license available
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.
Implementation languageC++JavaScriptC#
Server operating systemshostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.yesno
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesyesnoSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLyesView functions in JavaScriptyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoAuthorization levels configured per client per database

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBMPouchDBRavenDB
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