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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleA 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
Relational DBMSVector DBMSWide column store
Secondary database modelsTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitealtibase.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.commilvus.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsmilvus.io/­docs/­overview.md
DeveloperAltibaseAtos Convergence CreatorsGeoSpockAlex Kashirin
Initial release1999201620192020
Current releasev7.3, 2023, August 202317032.0, September 20192.3.4, January 20240.5, April 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 languageC++JavaJava, JavascriptC++, GoC++
Server operating systemsAIX
HP-UX
Linux
LinuxhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesVector, 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.noyesnonono
Secondary indexesyesyestemporal, categoricalno
SQL infoSupport of SQLANSI SQL-92noANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
LDAPJDBCRESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesC
C++
Java
All languages with LDAP bindingsC++
Go
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresstored procedures and stored functionsnononono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users can be defined per tableRole based access control and fine grained access rights
More information provided by the system vendor
AltibaseAtos Standard Common RepositoryGeoSpockMilvusSWC-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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More resources
AltibaseAtos Standard Common RepositoryGeoSpockMilvusSWC-DB infoSuper Wide Column Database
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