DBMS > Derby vs. HyperSQL vs. Immudb vs. Kinetica

System Properties Comparison Derby vs. HyperSQL vs. Immudb vs. Kinetica

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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.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

Fully vectorized database across both GPUs and CPUs

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Relational DBMS

Spatial DBMS
Time Series DBMS

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

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	0.31
Rank	#295	Overall
	#42	Key-value stores

Score	0.66
Rank	#234	Overall
	#107	Relational DBMS

Website

db.apache.org/derby

hsqldb.org

github.com/codenotary/immudb
immudb.io

www.kinetica.com

Technical documentation

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

hsqldb.org/web/hsqlDocsFrame.html

docs.immudb.io

docs.kinetica.com

Developer

Apache Software Foundation

Codenotary

Kinetica

Initial release

1997

2001

2020

2012

Current release

10.17.1.0, November 2023

2.7.2, June 2023

1.2.3, April 2022

7.1, August 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

based on BSD license

Open Source

Apache Version 2.0

commercial

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, C++

Server operating systems

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

BSD
Linux
macOS
Solaris
Windows
z/OS

Linux

Data scheme

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like syntax

SQL-like DML and DDL statements

APIs and other access methods

JDBC

HTTP API

JDBC via HTTP
JDBC
ODBC

gRPC protocol
PostgreSQL wire protocol

JDBC
ODBC
RESTful HTTP API

Supported programming languages

Java

All languages supporting JDBC/ODBC
Java

.Net
Go
Java
JavaScript (Node.js)
Python

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Java Stored Procedures

Java, SQL

user defined functions

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

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

Immediate Consistency or Eventual Consistency depending on configuration

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

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

GPU vRAM or System RAM

User concepts

Access control

fine grained access rights according to SQL-standard

Access rights for users and roles on table level

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