DBMS > 4D vs. Dragonfly vs. Galaxybase vs. GigaSpaces

System Properties Comparison 4D vs. Dragonfly vs. Galaxybase vs. GigaSpaces

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

Scalable, ACID-compliant native distributed parallel graph platform

High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions

Primary database model

Relational DBMS

Key-value store

Graph DBMS

Document store
Object oriented DBMS

Values are user defined objects

Secondary database models

Graph DBMS
Search engine

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

Score	2.37
Rank	#110	Overall
	#54	Relational DBMS

Score	0.44
Rank	#255	Overall
	#38	Key-value stores

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Score	0.91
Rank	#197	Overall
	#33	Document stores
	#7	Object oriented DBMS

Website

www.4d.com

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

galaxybase.com

www.gigaspaces.com

Technical documentation

developer.4d.com

www.dragonflydb.io/docs

docs.gigaspaces.com/latest/landing.html

Developer

4D, Inc

DragonflyDB team and community contributors

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Gigaspaces Technologies

Initial release

1984

2023

2017

2000

Current release

v20, April 2023

1.0, March 2023

Nov 20, November 2021

15.5, September 2020

License

Commercial or Open Source

commercial

Open Source

BSL 1.1

commercial

Open Source

Apache Version 2; Commercial licenses 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

C++

C and Java

Java, C++, .Net

Server operating systems

OS X
Windows

Linux

Linux
macOS
Solaris
Windows

Data scheme

yes

scheme-free

Strong typed schema

schema-free

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

XML can be used for describing objects metadata

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-99 for query and DML statements

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Proprietary protocol

RESP - REdis Serialization Protocol

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data

Supported programming languages

4D proprietary IDE
PHP

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

Go
Java
Python

.Net
C++
Java
Python
Scala

Server-side scripts

Stored procedures

yes

Lua

user defined procedures and functions

yes

Triggers

yes

publish/subscribe channels provide some trigger functionality

yes, event driven architecture

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

Multi-source replication

synchronous or asynchronous
Source-replica replication

synchronous or asynchronous

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Map-Reduce pattern can be built with XAP task executors

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Consistency level configurable: ALL, QUORUM, ANY

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Atomic execution of command blocks and scripts

ACID

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

Users and groups

Password-based authentication

Role-based access control

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More resources

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