DBMS > Milvus vs. PostgreSQL vs. PouchDB
System Properties Comparison Milvus vs. PostgreSQL vs. PouchDB
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|Editorial information provided by DB-Engines|
|Name||Milvus Xexclude from comparison||PostgreSQL Xexclude from comparison||PouchDB Xexclude from comparison|
|Primary database model||Search engine||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation|
|Initial release||2019||1989 1989: Postgres, 1996: PostgreSQL||2012|
|Current release||2.0, January 2022||14.5, August 2022||7.1.1, June 2019|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source BSD||Open Source|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date||Numeric and String||yes||no|
|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 specific XML-type available, but no XML query functionality.||no|
|Secondary indexes||no||yes||yes via views|
|SQL Support of SQL||no||yes standard with numerous extensions||no|
|APIs and other access methods||RESTful HTTP API||ADO.NET|
native C library
streaming API for large objects
|HTTP REST only for PouchDB Server|
|Supported programming languages||C++|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding with a proxy-based framework, named couchdb-lounge|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication also with CouchDB databases|
Source-replica replication also with CouchDB databases
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Bounded Staleness|
|Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by using IndexedDB, WebSQL or LevelDB as backend|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||yes|
|User concepts Access control||no||fine grained access rights according to SQL-standard||no|
|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 March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...|
|Licensing and pricing models||Milvus was released under the open-source Apache License 2.0 in October 2019. Managed...|
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