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DBMS > Alibaba Cloud Table Store vs. Amazon CloudSearch vs. Milvus vs. TimesTen

System Properties Comparison Alibaba Cloud Table Store vs. Amazon CloudSearch vs. Milvus vs. TimesTen

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonMilvus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA hosted search engine service by Amazon with the data stored in Amazons cloudA DBMS designed for efficient storage of vector data and vector similarity searchesAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelWide column storeSearch engineVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#294  Overall
#12  Wide column stores
Score1.86
Rank#133  Overall
#12  Search engines
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­cloudsearchmilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­cloudsearchmilvus.io/­docs/­overview.mddocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAlibabaAmazonOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201220191998
Current release2.4.4, May 2024Release 22.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
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 languageC++, Go
Server operating systemshostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.nonono
Secondary indexesnoyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP APIHTTP APIRESTful HTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesJava
Python
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensauthentication via encrypted signaturesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud Table StoreAmazon CloudSearchMilvusTimesTen
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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Alibaba Cloud Table StoreAmazon CloudSearchMilvusTimesTen
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