DBMS > Apache Derby vs. Dragonfly vs. gStore

System Properties Comparison Apache Derby vs. Dragonfly vs. gStore

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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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance

A native Graph DBMS to store and maintain very large RDF datasets.

Primary database model

Relational DBMS

Key-value store

Graph DBMS
RDF store

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

Score	3.42
Rank	#76	Overall
	#41	Relational DBMS

Score	0.50
Rank	#243	Overall
	#35	Key-value stores

Score	0.03
Rank	#371	Overall
	#40	Graph DBMS
	#18	RDF stores

Website

db.apache.org/derby

github.com/dragonflydb/dragonfly
www.dragonflydb.io

en.gstore.cn

Technical documentation

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

www.dragonflydb.io/docs

en.gstore.cn/#/enDocs

Developer

Apache Software Foundation

DragonflyDB team and community contributors

Initial release

1997

2023

2016

Current release

10.17.1.0, November 2023

1.0, March 2023

1.2, November 2023

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

BSL 1.1

Open Source

BSD

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Linux

Data scheme

yes

scheme-free

schema-free and OWL/RDFS-schema support

Typing

predefined data types such as float or date

yes

strings, hashes, lists, sets, sorted sets, bit arrays

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

APIs and other access methods

JDBC

Proprietary protocol

RESP - REdis Serialization Protocol

HTTP API
SPARQL 1.1

Supported programming languages

Java

C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl

C++
Java
JavaScript (Node.js)
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures

Lua

yes

Triggers

yes

publish/subscribe channels provide some trigger functionality

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of command blocks and scripts

yes

Concurrency

Support for concurrent manipulation of data

yes

yes, strict serializability by the server

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

User concepts

Access control

fine grained access rights according to SQL-standard

Password-based authentication

Users, roles and permissions, Role-Based Access Control (RBAC) supported

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