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

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

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  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.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly 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 searchesA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Vector DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorymilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationkylin.apache.org/­docsmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsAlex Kashirin
Initial release2015201620192020
Current release3.1.0, July 202017032.3.4, January 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageJavaJavaC++, GoC++
Server operating systemsLinuxLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesoptionalVector, 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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPRESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindingsC++
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno
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.noyesyesno
User concepts infoAccess controlLDAP bind authenticationRole based access control and fine grained access rights
More information provided by the system vendor
Apache KylinAtos Standard Common RepositoryMilvusSWC-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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Apache KylinAtos Standard Common RepositoryMilvusSWC-DB infoSuper Wide Column Database
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