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DBMS > HyperSQL vs. Microsoft Azure AI Search vs. Tigris

System Properties Comparison HyperSQL vs. Microsoft Azure AI Search vs. Tigris

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSearch-as-a-service for web and mobile app developmentA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitehsqldb.orgazure.microsoft.com/­en-us/­services/­searchwww.tigrisdata.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmllearn.microsoft.com/­en-us/­azure/­searchwww.tigrisdata.com/­docs
DeveloperMicrosoftTigris Data, Inc.
Initial release200120152022
Current release2.7.2, June 2023V1
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
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 VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
macOS
Windows
Data schemeyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnono
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP APICLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresJava, SQLnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users and roles

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More resources
HyperSQL infoalso known as HSQLDBMicrosoft Azure AI SearchTigris
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