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DBMS > Atos Standard Common Repository vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. OpenTSDB vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. OpenTSDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenTSDB  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 networksDatabase as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasetsScalable Time Series DBMS based on HBasePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Document storeWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tablesopentsdb.net
Technical documentationcloud.ibm.com/­docs/­Cloudantopentsdb.net/­docs/­build/­html/­index.html
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoftcurrently maintained by Yahoo and other contributorsTeradata
Initial release20162010201220112005
Current release1703
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJava
Server operating systemsLinuxhostedhostedLinux
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeFlexible 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 dateoptionalnoyesnumeric data for metrics, strings for tagsyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPRESTful HTTP/JSON APIRESTful HTTP APIHTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnonoR packages
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.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 methodsyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate 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 operationsno infoatomic operations within a document possibleoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryIBM CloudantMicrosoft Azure Table StorageOpenTSDBTeradata Aster
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