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DBMS > Atos Standard Common Repository vs. Milvus vs. NSDb vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. Milvus vs. NSDb vs. SWC-DB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Vector DBMSTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymilvus.ionsdb.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationmilvus.io/­docs/­overview.mdnsdb.io/­Architecture
DeveloperAtos Convergence CreatorsAlex Kashirin
Initial release2016201920172020
Current release17032.3.4, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL V3
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoJava, ScalaC++
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateoptionalVector, Numeric and Stringyes: int, bigint, decimal, string
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.yesnonono
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsLDAPRESTful HTTP APIgRPC
HTTP REST
WebSocket
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindingsC++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C++
Server-side scripts infoStored proceduresnononono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
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 authenticationRole based access control and fine grained access rights
More information provided by the system vendor
Atos Standard Common RepositoryMilvusNSDbSWC-DB infoSuper Wide Column Database
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Atos Standard Common RepositoryMilvusNSDbSWC-DB infoSuper Wide Column Database
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