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DBMS > DolphinDB vs. HyperSQL vs. Vitess

System Properties Comparison DolphinDB vs. HyperSQL vs. Vitess

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#78  Overall
#6  Time Series DBMS
Score3.28
Rank#86  Overall
#46  Relational DBMS
Score0.83
Rank#205  Overall
#95  Relational DBMS
Websitewww.dolphindb.comhsqldb.orgvitess.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlvitess.io/­docs
DeveloperDolphinDB, IncThe Linux Foundation, PlanetScale
Initial release201820012013
Current releasev2.00.4, January 20222.7.2, June 202315.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infobased on BSD licenseOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesDocker
Linux
macOS
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
All 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
Server-side scripts infoStored proceduresyesJava, SQLyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.yesyesyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
DolphinDBHyperSQL infoalso known as HSQLDBVitess
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

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

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

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13 December 2018, TechCrunch

CNCF’s Vitess Scales MySQL with the Help of Kubernetes
9 February 2018, The New Stack

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26 July 2022, Cloud Native Now

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