DBMS > Amazon DocumentDB vs. Milvus
System Properties Comparison Amazon DocumentDB vs. Milvus
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|Editorial information provided by DB-Engines
|Amazon DocumentDB Xexclude from comparison
|Milvus Xexclude from comparison
|Fast, scalable, highly available, and fully managed MongoDB-compatible database service
|A DBMS designed for efficient storage of vector data and vector similarity searches
|Primary database model
|2.3.4, January 2024
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Zilliz Cloud – Cloud-native service for Milvus
|Server operating systems
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date
|Vector, Numeric and String
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|APIs and other access methods
|proprietary protocol using JSON (MongoDB compatible)
|RESTful HTTP API
|Supported programming languages
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas
|MapReduce Offers an API for user-defined Map/Reduce methods
|no may be implemented via Amazon Elastic MapReduce (Amazon EMR)
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|no typically not used, however similar functionality with DBRef possible
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Atomic single-document operations
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Access rights for users and roles
|Role based access control and fine grained access rights
|More information provided by the system vendor
|Milvus is an open-source and cloud-native vector database built for production-ready...
|Highly available, versatile, and robust with millisecond latency. Supports batch...
|Typical application scenarios
|RAG: retrieval augmented generation Video media : video understanding, video deduplication....
|Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
|As of January 2024, 25k+ GitHub stars 10M+ downloads and installations 3k+ enterprise...
|Licensing and pricing models
|Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
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|DB-Engines blog posts
Vector databases AWS announces Amazon DocumentDB I/O-Optimized AWS Adds Vector Capabilities to More Databases provided by Google News What Is Milvus Vector Database? AI-Powered Search Engine With Milvus Vector Database on Vultr Zilliz Cloud boosts vector database performance Zilliz Cloud Adds Range Search Zilliz Cloud Ascends to New Heights: A Quantum Leap in Speed, Performance, and Developer Satisfaction with the ... provided by Google News
AWS announces Amazon DocumentDB I/O-Optimized
AWS Adds Vector Capabilities to More Databases
provided by Google News
What Is Milvus Vector Database?
AI-Powered Search Engine With Milvus Vector Database on Vultr
Zilliz Cloud boosts vector database performance
Zilliz Cloud Adds Range Search
Zilliz Cloud Ascends to New Heights: A Quantum Leap in Speed, Performance, and Developer Satisfaction with the ...
provided by Google News
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