DBMS > Amazon DynamoDB vs. H2

System Properties Comparison Amazon DynamoDB vs. H2

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Our visitors often compare Amazon DynamoDB and H2 with PostgreSQL, Redis and MySQL.

Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

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

Primary database model

Document store
Key-value store

Relational DBMS

Secondary database models

Spatial DBMS

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

Score	76.49
Rank	#15	Overall
	#3	Document stores
	#2	Key-value stores

Score	7.19
Rank	#48	Overall
	#31	Relational DBMS

Website

aws.amazon.com/dynamodb

www.h2database.com

Technical documentation

docs.aws.amazon.com/dynamodb

www.h2database.com/html/main.html

Developer

Amazon

Thomas Mueller

Initial release

2012

2005

Current release

2.2.220, July 2023

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

Open Source

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

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

hosted

All OS with a Java VM

Data scheme

schema-free

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

RESTful HTTP API

JDBC
ODBC

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

Triggers

yes

by integration with AWS Lambda

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

ACID across one or more tables within a single AWS account and region

ACID

Concurrency

Support for concurrent manipulation of data

yes

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

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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12 December 2019, Paul Andlinger

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2 October 2015, Paul Andlinger

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Recent citations in the news

Enhance real-time applications with AWS AppSync Events data source integrations
24 April 2025, Amazon Web Services (AWS)

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services (AWS)

What version of Amazon DynamoDB are you running?
15 October 2024, Amazon Web Services (AWS)

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, Amazon Web Services (AWS)

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, Amazon Web Services (AWS)

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