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DBMS > Microsoft Azure Table Storage vs. Netezza vs. PouchDB vs. RavenDB vs. SQLite

System Properties Comparison Microsoft Azure Table Storage vs. Netezza vs. PouchDB vs. RavenDB vs. SQLite

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseWidely used embeddable, in-process RDBMS
Primary database modelWide column storeRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.48
Rank#75  Overall
#6  Wide column stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzapouchdb.comravendb.netwww.sqlite.org
Technical documentationpouchdb.com/­guidesravendb.net/­docswww.sqlite.org/­docs.html
DeveloperMicrosoftIBMApache Software FoundationHibernating RhinosDwayne Richard Hipp
Initial release20122000201220102000
Current release7.1.1, June 20195.4, July 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC#C
Server operating systemshostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
server-less
Data schemeschema-freeyesschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnonoyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesnoyesyes infovia viewsyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)yes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIJDBC
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
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C#
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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyesView functions in JavaScriptyesno
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
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 replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesno
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 integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
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 conceptnoAuthorization levels configured per client per databaseno

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More resources
Microsoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMPouchDBRavenDBSQLite
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