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DBMS > Alibaba Cloud Table Store vs. Amazon DocumentDB vs. Citus vs. Milvus

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DocumentDB vs. Citus vs. Milvus

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonCitus  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelWide column storeDocument storeRelational DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.91
Rank#131  Overall
#24  Document stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­documentdbwww.citusdata.commilvus.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­documentdb/­resourcesdocs.citusdata.commilvus.io/­docs/­overview.md
DeveloperAlibaba
Initial release2016201920102019
Current release8.1, December 20182.4.4, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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 languageCC++, Go
Server operating systemshostedhostedLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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.nonoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoyes infostandard, with numerous extensionsno
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic single-document operationsACIDno
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.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
Alibaba Cloud Table StoreAmazon DocumentDBCitusMilvus
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...
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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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Alibaba Cloud Table StoreAmazon DocumentDBCitusMilvus
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