DBMS > 4D vs. Bangdb vs. Dragonfly vs. H2 vs. ObjectBox

System Properties Comparison 4D vs. Bangdb vs. Dragonfly vs. H2 vs. ObjectBox

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Converged and high performance database for device data, events, time series, document and graph

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

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

Extremely fast embedded database for small devices, IoT and Mobile

Primary database model

Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Key-value store

Relational DBMS

Object oriented DBMS

Secondary database models

Spatial DBMS

Time Series DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.16
Rank	#338	Overall
	#47	Document stores
	#32	Graph DBMS
	#31	Time Series DBMS

Score	0.49
Rank	#261	Overall
	#38	Key-value stores

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	1.29
Rank	#166	Overall
	#5	Object oriented DBMS

Website

www.4d.com

bangdb.com

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

www.h2database.com

objectbox.io

Technical documentation

developer.4d.com

docs.bangdb.com

www.dragonflydb.io/docs

www.h2database.com/html/main.html

docs.objectbox.io

Developer

4D, Inc

Sachin Sinha, BangDB

DragonflyDB team and community contributors

Thomas Mueller

ObjectBox Limited

Initial release

1984

2012

2023

2005

2017

Current release

v20, April 2023

BangDB 2.0, October 2021

1.0, March 2023

2.2.220, July 2023

License

Commercial or Open Source

commercial

Open Source

BSD 3

Open Source

BSL 1.1

Open Source

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

Open Source

Apache License 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++

C++

Java

C and C++

Server operating systems

OS X
Windows

Linux

All OS with a Java VM

Android
iOS
Linux
macOS
Windows

Data scheme

yes

schema-free

scheme-free

yes

Typing

predefined data types such as float or date

yes

yes: string, long, double, int, geospatial, stream, events

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

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

yes

close to SQL 92

SQL like support with command line tool

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Proprietary protocol
RESTful HTTP API

Proprietary protocol

RESP - REdis Serialization Protocol

JDBC
ODBC

Proprietary native API

Supported programming languages

4D proprietary IDE
PHP

C
C#
C++
Java
Python

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

Java

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

Server-side scripts

Stored procedures

yes

Lua

Java Stored Procedures and User-Defined Functions

Triggers

yes

yes, Notifications (with Streaming only)

publish/subscribe channels provide some trigger functionality

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

selectable replication factor, Knob for CAP (enterprise version only)

Source-replica replication

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

online/offline synchronization between client and server

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Tunable consistency, set CAP knob accordingly

Eventual Consistency

Immediate 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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

yes, strict serializability by the server

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes, run db with in-memory only mode

yes

User concepts

Access control

Users and groups

yes (enterprise version only)

Password-based authentication

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

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More resources

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