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DBMS > Ehcache vs. MaxDB vs. Microsoft Azure AI Search vs. Riak KV

System Properties Comparison Ehcache vs. MaxDB vs. Microsoft Azure AI Search vs. Riak KV

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA robust and reliable RDBMS optimized to run all major SAP solutionsSearch-as-a-service for web and mobile app developmentDistributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.ehcache.orgmaxdb.sap.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.ehcache.org/­documentationmaxdb.sap.com/­documentationlearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperTerracotta Inc, owned by Software AGSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftOpenSource, formerly Basho Technologies
Initial release2009198420152009
Current release3.10.0, March 20227.9.10.12, February 2024V13.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoLimited community edition freecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Erlang
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
hostedLinux
OS X
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesJava.Net
C#
Java
Perl
PHP
Python
C#
Java
JavaScript
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesnoErlang
Triggersyes infoCache Event Listenersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyes infoImplicit feature of the cloud serviceselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationyes, using Riak Security

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EhcacheMaxDB infoformerly named Adabas-DMicrosoft Azure AI SearchRiak KV
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