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DBMS > etcd vs. IBM Cloudant vs. IBM Db2 Event Store vs. Milvus

System Properties Comparison etcd vs. IBM Cloudant vs. IBM Db2 Event Store vs. Milvus

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA distributed reliable key-value storeDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelKey-value storeDocument storeEvent Store
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storemilvus.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storemilvus.io/­docs/­overview.md
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBM
Initial release201020172019
Current release3.4, August 20192.02.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageGoErlangC and C++C++, Go
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux infoLinux, macOS, Windows for the developer additionLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyesVector, 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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyesno
Triggersyes, watching key changesyesnono
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.Multi-source replication
Source-replica replication
Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databasefine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
etcdIBM CloudantIBM Db2 Event StoreMilvus
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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etcdIBM CloudantIBM Db2 Event StoreMilvus
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