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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMilvus  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 networksNatively in-memory DBMS with options for persistency, high-availability and clusteringA DBMS designed for efficient storage of vector data and vector similarity searchesA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Vector DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.commilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmmilvus.io/­docs/­overview.md
DeveloperAtos Convergence CreatorsMcObjectAlex Kashirin
Initial release2016200120192020
Current release17038.2, 20212.3.4, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen 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 and C++C++, GoC++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateoptionalyesVector, Numeric and 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.yesno infosupport of XML interfaces availablenono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query language
APIs and other access methodsLDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
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 configurationImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationRole based access control and fine grained access rights
More information provided by the system vendor
Atos Standard Common RepositoryeXtremeDBMilvusSWC-DB infoSuper Wide Column Database
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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Atos Standard Common RepositoryeXtremeDBMilvusSWC-DB infoSuper Wide Column Database
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