DBMS > DuckDB vs. H2 vs. H2GIS

System Properties Comparison DuckDB vs. H2 vs. H2GIS

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Editorial information provided by DB-Engines

Name

Description

An embeddable, in-process, column-oriented SQL OLAP RDBMS

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Spatial extension of H2

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Spatial DBMS

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	6.71
Rank	#51	Overall
	#31	Relational DBMS

Score	6.94
Rank	#50	Overall
	#30	Relational DBMS

Score	0.04
Rank	#367	Overall
	#7	Spatial DBMS

Website

duckdb.org

www.h2database.com

www.h2gis.org

Technical documentation

duckdb.org/docs

www.h2database.com/html/main.html

www.h2gis.org/docs/home

Developer

Thomas Mueller

CNRS

Initial release

2018

2005

2013

Current release

1.0.0, June 2024

2.2.220, July 2023

License

Commercial or Open Source

Open Source

MIT License

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

LGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

server-less

All OS with a Java VM

Data scheme

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

JDBC
ODBC

Supported programming languages

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

With clustering: 2 database servers on different computers operate on identical copies of a database

yes

based on H2

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

based on H2

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More resources

Recent citations in the news

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, AWS Blog

DuckDB project releases Local web UI, but not as open source
19 March 2025, DevClass

DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS
2 March 2025, MarkTechPost

DuckDB + Webassembly = WhatTheDuck
2 January 2025, iProgrammer

MotherDuck Announces Beta Release of pg_duckdb; Brings DuckDB's Analytics Power to PostgreSQL Users
24 October 2024, PR Newswire

provided by Google News

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