DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > KeyDB vs. Microsoft Azure Cosmos DB vs. Milvus vs. searchxml vs. Tkrzw

System Properties Comparison KeyDB vs. Microsoft Azure Cosmos DB vs. Milvus vs. searchxml vs. Tkrzw

Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMilvus  Xexclude from comparisonsearchxml  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsGlobally distributed, horizontally scalable, multi-model database serviceA DBMS designed for efficient storage of vector data and vector similarity searchesDBMS for structured and unstructured content wrapped with an application serverA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMSNative XML DBMS
Search engine
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#226  Overall
#33  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­services/­cosmos-dbmilvus.iowww.searchxml.net/­category/­productsdbmx.net/­tkrzw
Technical documentationdocs.keydb.devlearn.microsoft.com/­azure/­cosmos-dbmilvus.io/­docs/­overview.mdwww.searchxml.net/­support/­handouts
DeveloperEQ Alpha Technology Ltd.Microsoftinformationpartners gmbhMikio Hirabayashi
Initial release20192014201920152020
Current release2.3.4, January 20241.00.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD-3commercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageC++C++, GoC++C++
Server operating systemsLinuxhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinux
macOS
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infoJSON typesVector, Numeric and Stringyesno
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.nonoyesno
Secondary indexesyes infoby using the Redis Search moduleyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLnoSQL-like query languagenonono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC++
Java
Python
Ruby
Server-side scripts infoStored proceduresLuaJavaScriptnoyes infoon the application serverno
TriggersnoJavaScriptnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsMulti-item ACID transactions with snapshot isolation within a partitionnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlsimple password-based access control and ACLAccess rights can be defined down to the item levelRole based access control and fine grained access rightsDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
KeyDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvussearchxmlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
KeyDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvussearchxmlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Oh, snap! Snap snaps up database developer KeyDB
12 May 2022, TechCrunch

Snap Acquires KeyDB for Open-Source Services
17 May 2022, XR Today

Garnet–open-source faster cache-store speeds up applications, services
18 March 2024, Microsoft

Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store
20 March 2023, Phoronix

Microsoft open-sources Garnet cache-store -- a Redis rival?
19 March 2024, The Stack

provided by Google News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, azure.microsoft.com

Microsoft Build 2024: Cosmos DB for NoSQL gets vector search
21 May 2024, InfoWorld

Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR) | Atualizações do ...
22 May 2024, azure.microsoft.com

At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements
21 May 2024, SiliconANGLE News

Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
27 March 2024, azure.microsoft.com

provided by Google News

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26 March 2024, The New Stack

AI-Powered Search Engine With Milvus Vector Database on Vultr
31 January 2024, SitePoint

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20 March 2024, GlobeNewswire

Zilliz Unveils Game-Changing Features for Vector Search
22 March 2024, Datanami

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9 April 2024, ibm.com

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here