DBMS > 4D vs. Altibase vs. Bangdb vs. Drizzle vs. SpaceTime

System Properties Comparison 4D vs. Altibase vs. Bangdb vs. Drizzle vs. SpaceTime

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

Application development environment with integrated database management system

An enterprise grade, high-performance RDBMS

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

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Relational DBMS

Spatial DBMS

Secondary database models

Spatial DBMS

Relational DBMS

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	0.08
Rank	#347	Overall
	#47	Document stores
	#34	Graph DBMS
	#31	Time Series DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

www.4d.com

altibase.com

bangdb.com

www.mireo.com/spacetime

Technical documentation

developer.4d.com

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.bangdb.com

Developer

4D, Inc

Altibase

Sachin Sinha, BangDB

Drizzle project, originally started by Brian Aker

Mireo

Initial release

1984

1999

2012

2008

2020

Current release

v20, April 2023

v7.3, 2023, August 2023

BangDB 2.0, October 2021

7.2.4, September 2012

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

BSD 3

Open Source

GNU GPL

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

C++

C, C++

C++

Server operating systems

OS X
Windows

AIX
HP-UX
Linux

Linux

FreeBSD
Linux
OS X

Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

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

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

ANSI SQL-92

SQL like support with command line tool

yes

with proprietary extensions

A subset of ANSI SQL is implemented

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
Proprietary protocol

Proprietary protocol
RESTful HTTP API

JDBC

RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

C
C++
Java

C
C#
C++
Java
Python

C
C++
Java
PHP

C#
C++
Python

Server-side scripts

Stored procedures

yes

stored procedures and stored functions

Triggers

yes

yes, Notifications (with Streaming only)

hooks for callbacks inside the server can be used.

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

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

Sharding

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

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

Multi-source replication
Source-replica replication

Real-time block device replication (DRBD)

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

Immediate Consistency

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

yes, optimistic concurrency control

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

yes, run db with in-memory only mode

User concepts

Access control

Users and groups

fine grained access rights according to SQL-standard

yes (enterprise version only)

Pluggable authentication mechanisms

e.g. LDAP, HTTP

yes

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