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DBMS > Ehcache vs. Microsoft Azure AI Search

System Properties Comparison Ehcache vs. Microsoft Azure AI Search

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Our visitors often compare Ehcache and Microsoft Azure AI Search with Redis, Databricks and Elasticsearch.

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsSearch-as-a-service for web and mobile app development
Primary database modelKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.98
Rank#67  Overall
#8  Key-value stores
Score5.28
Rank#61  Overall
#7  Search engines
Websitewww.ehcache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.ehcache.org/­documentationlearn.microsoft.com/­en-us/­azure/­search
DeveloperTerracotta Inc, owned by Software AGMicrosoft
Initial release20092015
Current release3.10.0, March 2022V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VMhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnono
APIs and other access methodsJCacheRESTful HTTP API
Supported programming languagesJavaC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoyes infousing Azure authentication

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More resources
EhcacheMicrosoft Azure AI Search
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