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DBMS > Amazon DynamoDB vs. Milvus

System Properties Comparison Amazon DynamoDB vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelDocument store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.49
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score2.90
Rank#87  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­dynamodbmilvus.io
Technical documentationdocs.aws.amazon.com/­dynamodbmilvus.io/­docs/­overview.md
DeveloperAmazon
Initial release20122019
Current release2.4.4, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Go
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-free
Typing infopredefined data types such as float or dateyesVector, 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.no
Secondary indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynono
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 regionno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role based access control and fine grained access rights

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More resources
Amazon DynamoDBMilvus
DB-Engines blog posts

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Recent citations in the news

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services

What version of Amazon DynamoDB are you running?
15 October 2024, Amazon Web Services

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, Amazon Web Services

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, Amazon Web Services

Amazon DynamoDB data models for generative AI chatbots
6 November 2024, Amazon Web Services

provided by Google News

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Hands-On Vector Similarity Search with Milvus
20 October 2024, Packt

Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus
19 November 2024, Towards Data Science

Open source vector database vendor targets enterprise AI costs with cloud update
19 November 2024, venturebeat.com

provided by Google News



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