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DBMS > Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. PouchDB vs. SiteWhere vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. PouchDB vs. SiteWhere vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series dataPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Wide column storeDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­storage/­tablespouchdb.comgithub.com/­sitewhere/­sitewhere
Technical documentationpouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsMicrosoftApache Software FoundationSiteWhereTeradata
Initial release20162012201220102005
Current release17037.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptJava
Server operating systemsLinuxhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freepredefined schemeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptionalyesnoyesyes
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.yesnononoyes infoin Aster File Store
Secondary indexesyesnoyes infovia viewsnoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoView functions in JavaScriptR packages
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic lockingnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights based on private key authentication or shared access signaturesnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryMicrosoft Azure Table StoragePouchDBSiteWhereTeradata Aster
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