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DBMS > Microsoft Azure Search vs. Redis vs. Solr

System Properties Comparison Microsoft Azure Search vs. Redis vs. Solr

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Editorial information provided by DB-Engines
NameMicrosoft Azure Search  Xexclude from comparisonRedis  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A widely used enterprise search engine based on Apache Lucene
Primary database modelSearch engineKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceSearch engine
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.60
Rank#51  Overall
#6  Search engines
Score145.24
Rank#8  Overall
#1  Key-value stores
Score57.78
Rank#17  Overall
#3  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchredis.iolucene.apache.org/­solr
Technical documentationdocs.microsoft.com/­en-us/­azure/­searchredis.io/­documentationlucene.apache.org/­solr/­resources.html
DeveloperMicrosoftSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsApache Software Foundation
Initial release201520092004
Current releaseV15.0.6, September 20198.3.0, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3-Clause, commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
All OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes 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.nonono
Secondary indexesyesyes infowith RediSearch moduleyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonono infosupports limited query time joins
APIs and other access methodsRESTful HTTP APIproprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Supported programming languages.Net
C#
C
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
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoLuaJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
cloud/distributed (via Zookeeper)
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency infoslaves poll the master in predefined intervalls
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsoptimistic locking infoSolr 4
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infousing Azure authenticationSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
Microsoft Azure SearchRedisSolr
Specific characteristicsRedis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesRedis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosRedis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Licensing and pricing modelsThe licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

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3rd partiesScaleGrid: Fully managed Redis-as-a-Service in the cloud.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

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More resources
Microsoft Azure SearchRedisSolr
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