DBMS > Memcached vs. Milvus vs. Rockset
System Properties Comparison Memcached vs. Milvus vs. Rockset
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|Editorial information provided by DB-Engines|
|Name||Memcached Xexclude from comparison||Milvus Xexclude from comparison||Rockset Xexclude from comparison|
|Description||In-memory key-value store, originally intended for caching||A DBMS designed for efficient storage of vector data and vector similarity searches||A scalable, reliable search and analytics service in the cloud, built on RocksDB|
|Primary database model||Key-value store||Search engine||Document store|
|Secondary database models||Relational DBMS|
|Developer||Danga Interactive originally developed by Brad Fitzpatrick for LiveJournal||Rockset|
|Current release||1.6.18, January 2023||2.2, November 2022|
|License Commercial or Open Source||Open Source BSD license||Open Source Apache Version 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Zilliz Cloud – Cloud-native service for Milvus|
|Implementation language||C||C++, Go||C++|
|Server operating systems||FreeBSD|
macOS 10.14 or later
Windows with WSL 2 enabled
|Typing predefined data types such as float or date||no||Vector, Numeric and String||dynamic typing|
|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 ingestion from XML files supported|
|Secondary indexes||no||no||all fields are automatically indexed|
|SQL Support of SQL||no||no||Read-only SQL queries, including JOINs|
|APIs and other access methods||Proprietary protocol||RESTful HTTP API||HTTP REST|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||no||no|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding||Automatic sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||none Repcached, a Memcached patch, provides this functionallity||yes|
|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|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||no||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||yes using SASL (Simple Authentication and Security Layer) protocol||no||Access rights for users and organizations can be defined via Rockset console|
|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...|
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