DBMS > Apache Derby vs. HEAVY.AI vs. MySQL

System Properties Comparison Apache Derby vs. HEAVY.AI vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

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

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Widely used open source RDBMS

Primary database model

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Spatial DBMS

Document store
Spatial DBMS

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

Score	3.04
Rank	#85	Overall
	#46	Relational DBMS

Score	1.15
Rank	#167	Overall
	#75	Relational DBMS

Score	964.98
Rank	#2	Overall
	#2	Relational DBMS

Website

db.apache.org/derby

github.com/heavyai/heavydb
www.heavy.ai

www.mysql.com

Technical documentation

db.apache.org/derby/manuals/index.html

docs.heavy.ai

dev.mysql.com/doc

Developer

Apache Software Foundation

HEAVY.AI, Inc.

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

1997

2016

1995

Current release

10.17.1.0, November 2023

5.10, January 2022

9.0.0, July 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2; enterprise edition available

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

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

Java

C++ and CUDA

C and C++

Server operating systems

All OS with a Java VM

Linux

FreeBSD
Linux
OS X
Solaris
Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

APIs and other access methods

JDBC

JDBC
ODBC
Thrift
Vega

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Java

All languages supporting JDBC/ODBC/Thrift
Python

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

Stored procedures

Java Stored Procedures

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Round robin

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

Multi-source replication
Source-replica replication

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

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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

Users with fine-grained authorization concept

no user groups or roles

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More resources

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3 January 2020, Matthias Gelbmann, Paul Andlinger

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2 May 2017, Paul Andlinger

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Recent citations in the news

Apache Derby Vulnerability Let Attackers Bypass Authentication with LDAP Injection
3 March 2025, CybersecurityNews

JDBC tutorial: Easy installation and setup with Apache Derby
20 December 2019, theserverside.com

Using Java DB in Desktop Applications
15 October 2019, Oracle

IBM Acquires Stepzen to Scale AI, Cloud Ambitions
9 February 2023, CX Today

The Apache® Software Foundation Announces 18 Years of Open Source Leadership
28 March 2017, GlobeNewswire

provided by Google News

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Introduces HeavyIQ, Delivering Powerful Conversational Analytics Focused on Location and Time Data
19 March 2024, Business Wire

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

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7 April 2025, CRN Magazine

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14 April 2023, InfoWorld

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6 May 2025, theregister.com

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8 May 2025, BleepingComputer

MySQL Explained: Your Guide to Mastering This Powerful Database
29 August 2024, Oracle

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