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DBMS > Badger vs. Memcached vs. Milvus vs. Rockset

System Properties Comparison Badger vs. Memcached vs. Milvus vs. Rockset

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMemcached  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.In-memory key-value store, originally intended for cachingA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value storeKey-value storeVector DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.memcached.orgmilvus.iorockset.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­memcached/­memcached/­wikimilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperDGraph LabsDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRockset
Initial release2017200320192019
Current release1.6.27, May 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoCC++, GoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoVector, Numeric and Stringdynamic typing
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infoingestion from XML files supported
Secondary indexesnononoall fields are automatically indexed
SQL infoSupport of SQLnononoRead-only SQL queries, including JOINs
APIs and other access methodsProprietary protocolRESTful HTTP APIHTTP REST
Supported programming languagesGo.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
BadgerMemcachedMilvusRockset
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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BadgerMemcachedMilvusRockset
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