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DBMS > etcd vs. FoundationDB vs. IBM Cloudant vs. Milvus

System Properties Comparison etcd vs. FoundationDB vs. IBM Cloudant vs. Milvus

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFoundationDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMilvus  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA distributed reliable key-value storeOrdered key-value store. Core features are complimented by layers.Database as a Service offering based on Apache CouchDBA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­apple/­foundationdbwww.ibm.com/­products/­cloudantmilvus.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apple.github.io/­foundationdbcloud.ibm.com/­docs/­Cloudantmilvus.io/­docs/­overview.md
DeveloperFoundationDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release201320102019
Current release3.4, August 20196.2.28, November 20202.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageGoC++ErlangC++, Go
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or datenono infosome layers support typingnoVector, 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 indexesnonoyesno
SQL infoSupport of SQLnosupported in specific SQL layer onlynono
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlyView functions (Map-Reduce) in JavaScriptno
Triggersyes, watching key changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonoAccess rights for users can be defined per databaseRole based access control and fine grained access rights
More information provided by the system vendor
etcdFoundationDBIBM CloudantMilvus
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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etcdFoundationDBIBM CloudantMilvus
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