DBMS > Milvus vs. MongoDB vs. Warp 10
System Properties Comparison Milvus vs. MongoDB vs. Warp 10
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|Editorial information provided by DB-Engines|
|Name||Milvus Xexclude from comparison||MongoDB Xexclude from comparison||Warp 10 Xexclude from comparison|
|Description||A DBMS designed for efficient storage of vector data and vector similarity searches||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase|
|Primary database model||Search engine||Document store||Time Series DBMS|
|Secondary database models||Spatial DBMS|
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
|Current release||2.2, November 2022||6.0.1, August 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.||Open Source Apache License 2.0|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Zilliz Cloud – Cloud-native service for Milvus||ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.|
|Implementation language||C++, Go||C++||Java|
|Server operating systems||Linux|
macOS 10.14 or later
Windows with WSL 2 enabled
|Data scheme||schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.||schema-free|
|Typing predefined data types such as float or date||Vector, Numeric and String||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|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||no|
|SQL Support of SQL||no||Read-only SQL queries via the MongoDB Connector for BI||no|
|APIs and other access methods||RESTful HTTP API||proprietary protocol using JSON||HTTP API|
|Supported programming languages||C++|
|Actionscript unofficial driver|
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Triggers||no||yes in MongoDB Atlas only||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|selectable replication factor based on HBase|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Bounded Staleness|
Immediate Consistency can be individually decided for each write operation
|Immediate Consistency based on HBase|
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Multi-document ACID Transactions with snapshot isolation||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes In-memory storage engine introduced with MongoDB version 3.2||yes|
|User concepts Access control||no||Access rights for users and roles||Mandatory use of cryptographic tokens, containing fine-grained authorizations|
|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, 14k+ 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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