DBMS > DuckDB vs. HyperSQL
System Properties Comparison DuckDB vs. HyperSQL
Please select another system to include it in the comparison.
Our visitors often compare DuckDB and HyperSQL with SQLite, H2 and MySQL.
|Editorial information provided by DB-Engines|
|Name||DuckDB Xexclude from comparison||HyperSQL also known as HSQLDB Xexclude from comparison|
|Description||An embeddable, in-process, column-oriented SQL OLAP RDBMS||Multithreaded, transactional RDBMS written in Java also known as HSQLDB|
|Primary database model||Relational DBMS||Relational DBMS|
|Current release||0.2, August 2020||2.7.1, October 2022|
|License Commercial or Open Source||Open Source MIT License||Open Source based on BSD license|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||server-less||All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||yes||yes|
|APIs and other access methods||CLI Client|
|HTTP API JDBC via HTTP|
|Supported programming languages||C|
Go 3rd party driver
Ruby 3rd party driver
|All languages supporting JDBC/ODBC|
|Server-side scripts Stored procedures||no||Java, SQL|
|Partitioning methods Methods for storing different data on different nodes||none||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||no||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DuckDB||HyperSQL also known as HSQLDB|
|Recent citations in the news|
MotherDuck, DuckDB Labs Founders on Commercializing Open ...
5 newer data science tools you should be using with Python
MotherDuck secures investment from Andreessen Horowitz to commercialize DuckDB
Databricks Releases Keynote Lineup and Generation AI ...
DuckDB, database wrangler used by Google, Facebook, and Airbnb, hits 0.5.0
provided by Google News
HyperSQL DataBase flaw leaves library vulnerable to RCE
Introduction to JDBC with HSQLDB tutorial
SQLite patches 22-year-old code execution, denial of service vulnerability
Upcoming ‘critical’ OpenSSL update prompts feverish speculation
Java News Roundup: JEPs Targeted for JDK 20, AWS Introduces ...
provided by Google News
Founding Engineer (Infra)
Business Support Specialist
Production Support Specialist
Share this page