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DBMS > Microsoft Azure Table Storage vs. Postgres-XL vs. WakandaDB

System Properties Comparison Microsoft Azure Table Storage vs. Postgres-XL vs. WakandaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgres-xl.orgwakanda.github.io
Technical documentationwww.postgres-xl.org/­documentationwakanda.github.io/­doc
DeveloperMicrosoftWakanda SAS
Initial release20122014 infosince 2012, originally named StormDB2012
Current release10 R1, October 20182.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, JavaScript
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardyes

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More resources
Microsoft Azure Table StoragePostgres-XLWakandaDB
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