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DBMS > Badger vs. HugeGraph vs. Memcached vs. Milvus

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for cachingA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeGraph DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
www.memcached.orgmilvus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wikimilvus.io/­docs/­overview.md
DeveloperDGraph LabsBaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2017201820032019
Current release0.91.6.27, May 20242.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoJavaCC++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoVector, Numeric and String
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
Secondary indexesnoyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLnononono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolRESTful HTTP API
Supported programming languagesGoGroovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoUsers, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocolRole based access control and fine grained access rights
More information provided by the system vendor
BadgerHugeGraphMemcachedMilvus
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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