DBMS > 4D vs. GeoSpock vs. Infobright vs. RocksDB vs. SpatiaLite

System Properties Comparison 4D vs. GeoSpock vs. Infobright vs. RocksDB vs. SpatiaLite

Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

Application development environment with integrated database management system

Spatial and temporal data processing engine for extreme data scale

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Spatial extension of SQLite

Primary database model

Relational DBMS

Key-value store

Spatial DBMS

Secondary database models

Time Series DBMS

Relational DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	1.02
Rank	#192	Overall
	#90	Relational DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

www.4d.com

geospock.com

ignitetech.com/softwarelibrary/infobrightdb

rocksdb.org

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

developer.4d.com

github.com/facebook/rocksdb/wiki

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

4D, Inc

GeoSpock

Ignite Technologies Inc.; formerly InfoBright Inc.

Facebook, Inc.

Alessandro Furieri

Initial release

1984

2005

2013

2008

Current release

v20, April 2023

2.0, September 2019

9.2.1, May 2024

5.0.0, August 2020

License

Commercial or Open Source

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

BSD

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java, Javascript

C++

Server operating systems

OS X
Windows

hosted

Linux
Windows

Linux

server-less

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

temporal, categorical

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes

close to SQL 92

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC

ADO.NET
JDBC
ODBC

C++ API
Java API

Supported programming languages

4D proprietary IDE
PHP

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

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

User concepts

Access control

Users and groups

Access rights for users can be defined per table

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

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