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DBMS > HyperSQL vs. InterSystems Caché vs. LeanXcale vs. Microsoft Azure AI Search

System Properties Comparison HyperSQL vs. InterSystems Caché vs. LeanXcale vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA multi-model DBMS and application serverA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Search engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitehsqldb.orgwww.intersystems.com/­products/­cachewww.leanxcale.comazure.microsoft.com/­en-us/­services/­search
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperInterSystemsLeanXcaleMicrosoft
Initial release2001199720152015
Current release2.7.2, June 20232018.1.4, May 2020V1
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyesdepending on used data modelyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infothrough Apache Derbyno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
C++
Java
C
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava, SQLyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
HyperSQL infoalso known as HSQLDBInterSystems CachéLeanXcaleMicrosoft Azure AI Search
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