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DBMS > KeyDB vs. Microsoft Azure AI Search vs. MonetDB vs. Solr

System Properties Comparison KeyDB vs. Microsoft Azure AI Search vs. MonetDB vs. Solr

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeSearch engineRelational DBMSSearch engine
Secondary database modelsVector DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#229  Overall
#32  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgsolr.apache.org
Technical documentationdocs.keydb.devlearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperEQ Alpha Technology Ltd.MicrosoftMonetDB BVApache Software Foundation
Initial release2019201520042006
Current releaseV1Dec2023 (11.49), December 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSD-3commercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2
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.
Implementation languageC++CJava
Server operating systemsLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
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 indexesyesyesyes infosupports customizable data types and automatic typing
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 indexesyes infoby using the Redis Search moduleyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
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
C#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuanoyes, in SQL, C, RJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlsimple password-based access control and ACLyes infousing Azure authenticationfine grained access rights according to SQL-standardyes

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More resources
KeyDBMicrosoft Azure AI SearchMonetDBSolr
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