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DBMS > Atos Standard Common Repository vs. Qdrant vs. Riak KV vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. Qdrant vs. Riak KV vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonQdrant  Xexclude from comparisonRiak KV  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 high-performance vector database with neural network or semantic-based matchingDistributed, fault tolerant key-value storePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Vector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationqdrant.tech/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAtos Convergence CreatorsQdrantOpenSource, formerly Basho TechnologiesTeradata
Initial release2016202120092005
Current release17033.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustErlang
Server operating systemsLinuxDocker
Linux
macOS
Windows
Linux
OS X
Linux
Data schemeSchema and schema-less with LDAP viewsschema-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 dateoptionalNumbers, Strings, Geo, Booleannoyes
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.yesnonoyes infoin Aster File Store
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textrestrictedyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsLDAPgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoErlangR packages
Triggersyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationselectable 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 methodsnoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency, tunable consistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationKey-based authenticationyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryQdrantRiak KVTeradata Aster
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