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

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

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzapouchdb.com
Technical documentationapple.github.io/­foundationdbpouchdb.com/­guides
DeveloperFoundationDBMicrosoftIBMApache Software Foundation
Initial release2013201220002012
Current release6.2.28, November 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScript
Server operating systemsLinux
OS X
Windows
hostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesno
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 indexesnonoyesyes infovia views
SQL infoSupport of SQLsupported in specific SQL layer onlynoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresin SQL-layer onlynoyesView functions in JavaScript
Triggersnononoyes
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 nodesyesyes 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 systemLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonono
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.noyes
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptno

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