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DBMS > Ehcache vs. Google Cloud Spanner vs. Microsoft Azure AI Search vs. OpenQM

System Properties Comparison Ehcache vs. Google Cloud Spanner vs. Microsoft Azure AI Search vs. OpenQM

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Search-as-a-service for web and mobile app developmentQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeRelational DBMSSearch engineMultivalue DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.ehcache.orgcloud.google.com/­spannerazure.microsoft.com/­en-us/­services/­searchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­spanner/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperTerracotta Inc, owned by Software AGGoogleMicrosoftRocket Software, originally Martin Phillips
Initial release2009201720151993
Current release3.10.0, March 2022V13.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsJCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationnoACID
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 controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationAccess rights can be defined down to the item level

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More resources
EhcacheGoogle Cloud SpannerMicrosoft Azure AI SearchOpenQM infoalso called QM
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