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DBMS > Badger vs. Memcached vs. Milvus vs. Snowflake

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMemcached  Xexclude from comparisonMilvus  Xexclude from comparisonSnowflake  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 searchesCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeKey-value storeVector DBMSRelational DBMS
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
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.memcached.orgmilvus.iowww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­memcached/­memcached/­wikimilvus.io/­docs/­overview.mddocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSnowflake Computing Inc.
Initial release2017200320192014
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++, Go
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-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenonoVector, Numeric and Stringyes
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.nonoyes
Secondary indexesnonono
SQL infoSupport of SQLnononoyes
APIs and other access methodsProprietary protocolRESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes
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
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.noyesno
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolRole based access control and fine grained access rightsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BadgerMemcachedMilvusSnowflake
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...
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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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BadgerMemcachedMilvusSnowflake
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