DBMS > Milvus vs. MySQL vs. Sequoiadb
System Properties Comparison Milvus vs. MySQL vs. Sequoiadb
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|Editorial information provided by DB-Engines|
|Name||Milvus Xexclude from comparison||MySQL Xexclude from comparison||Sequoiadb Xexclude from comparison|
|Description||A DBMS designed for efficient storage of vector data and vector similarity searches||Widely used open source RDBMS||NewSQL database with distributed OLTP and SQL|
|Primary database model||Vector DBMS||Relational DBMS Key/Value like access via memcached API||Document store|
|Secondary database models||Document store|
|Developer||Oracle since 2010, originally MySQL AB, then Sun||Sequoiadb Ltd.|
|Current release||2.2, November 2022||8.1.0, July 2023|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source Server: AGPL; Client: Apache V2|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Zilliz Cloud – Cloud-native service for Milvus||PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.|
|Implementation language||C++, Go||C and C++||C++|
|Server operating systems||Linux|
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date||Vector, Numeric and String||yes||yes oid, date, timestamp, binary, regex|
|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.||no||yes||no|
|SQL Support of SQL||no||yes with proprietary extensions||SQL-like query language|
|APIs and other access methods||RESTful HTTP API||ADO.NET|
Proprietary native API
|proprietary protocol using JSON|
|Supported programming languages||C++|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Bounded Staleness|
|Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID not for MyISAM storage engine||Document is locked during a transaction|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||no|
|User concepts Access control||Role based access control and fine grained access rights||Users with fine-grained authorization concept no user groups or roles||simple password-based access control|
|More information provided by the system vendor|
|Specific characteristics||Milvus is an open-source and cloud-native vector database built for production-ready...|
|Competitive advantages||Highly available, versatile, and robust with millisecond latency. Supports batch...|
|Typical application scenarios||Video media : video understanding, video deduplication. E-commerce and mobile applications...|
|Key customers||Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...|
|Market metrics||As of February 2023, 20k+ GitHub stars 2M+ downloads and installations 1000+ 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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