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DBMS > Informix vs. Microsoft Azure Table Storage vs. Netezza vs. PouchDB

System Properties Comparison Informix vs. Microsoft Azure Table Storage vs. Netezza vs. PouchDB

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA 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 CouchDB
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBWide column storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websitewww.ibm.com/­products/­informixazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzapouchdb.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
pouchdb.com/­guides
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MicrosoftIBMApache Software Foundation
Initial release1984201220002012
Current release14.10.FC5, November 20207.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and JavaJavaScript
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesno
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
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresyesnoyesView functions in JavaScript
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes 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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptno

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More resources
InformixMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMPouchDB
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