DBMS > Milvus vs. MySQL vs. Oracle Rdb
System Properties Comparison Milvus vs. MySQL vs. Oracle Rdb
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|Editorial information provided by DB-Engines
|Milvus Xexclude from comparison
|MySQL Xexclude from comparison
|Oracle Rdb Xexclude from comparison
|A DBMS designed for efficient storage of vector data and vector similarity searches
|Widely used open source RDBMS
|Primary database model
|Relational DBMS Key/Value like access via memcached API
|Secondary database models
|Oracle since 2010, originally MySQL AB, then Sun
|Oracle, originally developed by Digital Equipment Corporation (DEC)
|2.3.4, January 2024
|8.3.0, January 2024
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Open Source GPL version 2. Commercial licenses with extended functionallity are available
|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
|C and C++
|Server operating systems
macOS 10.14 or later
Windows with WSL 2 enabled
|HP Open VMS
|Flexible Schema (defined schema, partial schema, schema free)
|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
|yes with proprietary extensions
|APIs and other access methods
|RESTful HTTP API
Proprietary native API
|Supported programming languages
|Server-side scripts Stored procedures
|yes proprietary syntax
|Partitioning methods Methods for storing different data on different nodes
|horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
|Replication methods Methods for redundantly storing data on multiple nodes
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|yes not for MyISAM storage engine
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID not for MyISAM storage engine
|yes, on a single node
|Concurrency Support for concurrent manipulation of data
|yes table locks or row locks depending on storage engine
|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
|Role based access control and fine grained access rights
|Users with fine-grained authorization concept no user groups or roles
|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...
We invite representatives of system vendors to contact us for updating and extending the system information,
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