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DBMS > Amazon DynamoDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Milvus

System Properties Comparison Amazon DynamoDB vs. MarkLogic vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Milvus

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentGlobally distributed, horizontally scalable, multi-model database serviceA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­dynamodbwww.marklogic.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbmilvus.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.marklogic.comlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-dbmilvus.io/­docs/­overview.md
DeveloperAmazonMarkLogic Corp.MicrosoftMicrosoft
Initial release20122001201520142019
Current release11.0, December 2022V12.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial inforestricted free version is availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
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++C++, Go
Server operating systemshostedLinux
OS X
Windows
hostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesVector, 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.yesnono
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoyes infoSQL92noSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoJavaScriptno
Triggersyes infoby integration with AWS LambdayesnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACID infocan act as a resource manager in an XA/JTA transactionnoMulti-item ACID transactions with snapshot isolation within a partitionno
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.yes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access control at the document and subdocument levelsyes infousing Azure authenticationAccess rights can be defined down to the item levelRole based access control and fine grained access rights
More information provided by the system vendor
Amazon DynamoDBMarkLogicMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvus
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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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
Amazon DynamoDBMarkLogicMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvus
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