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DBMS > HyperSQL vs. Vitess vs. Yanza

System Properties Comparison HyperSQL vs. Vitess vs. Yanza

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonVitess  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBScalable, distributed, cloud-native DBMS, extending MySQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehsqldb.orgvitess.ioyanza.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlvitess.io/­docs
DeveloperThe Linux Foundation, PlanetScaleYanza
Initial release200120132015
Current release2.7.2, June 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoApache Version 2.0, commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava, SQLyes infoproprietary syntaxno
Triggersyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
HyperSQL infoalso known as HSQLDBVitessYanza
Recent citations in the news

HyperSQL DataBase flaw leaves library vulnerable to RCE
24 October 2022, The Daily Swig

Introduction to JDBC with HSQLDB tutorial
14 November 2022, TheServerSide.com

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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