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DBMS > Atos Standard Common Repository vs. IBM Cloudant vs. OpenTSDB vs. Quasardb vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. IBM Cloudant vs. OpenTSDB vs. Quasardb vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOpenTSDB  Xexclude from comparisonQuasardb  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 CouchDBScalable Time Series DBMS based on HBaseDistributed, high-performance timeseries databasePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Document storeTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­cloudantopentsdb.netquasar.ai
Technical documentationcloud.ibm.com/­docs/­Cloudantopentsdb.net/­docs/­build/­html/­index.htmldoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014currently maintained by Yahoo and other contributorsquasardbTeradata
Initial release20162010201120092005
Current release17033.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageJavaErlangJavaC++
Server operating systemsLinuxhostedLinux
Windows
BSD
Linux
OS X
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 dateoptionalnonumeric data for metrics, strings for tagsyes infointeger and binaryyes
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 indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsLDAPRESTful HTTP/JSON APIHTTP API
Telnet API
HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Objective-C
PHP
Ruby
Erlang
Go
Java
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 infobased on HBaseSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBaseSource-replica replication with selectable replication factoryes 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 methodsyesnowith Hadoop integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency infobased on HBaseImmediate 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 operationsno infoatomic operations within a document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient modeno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasenoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryIBM CloudantOpenTSDBQuasardbTeradata Aster
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