DBMS > 4D vs. Cachelot.io vs. GeoMesa vs. IBM Db2 vs. Riak TS

System Properties Comparison 4D vs. Cachelot.io vs. GeoMesa vs. IBM Db2 vs. Riak TS

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

In-memory caching system

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Common in IBM host environments, 2 different versions for host and Windows/Linux

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

Primary database model

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Time Series DBMS

Secondary database models

Document store
RDF store

in Db2 LUW (Linux, Unix, Windows)
Spatial DBMS

with Db2 Spatial Extender

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

Score	2.68
Rank	#110	Overall
	#54	Relational DBMS

Score	0.00
Rank	#396	Overall
	#64	Key-value stores

Score	0.81
Rank	#214	Overall
	#4	Spatial DBMS

Score	127.49
Rank	#8	Overall
	#5	Relational DBMS

Score	0.25
Rank	#308	Overall
	#26	Time Series DBMS

Website

www.4d.com

cachelot.io

www.geomesa.org

www.ibm.com/products/db2

Technical documentation

developer.4d.com

www.geomesa.org/documentation/stable/user/index.html

www.ibm.com/docs/en/db2

www.tiot.jp/riak-docs/riak/ts/latest

Developer

4D, Inc

CCRi and others

IBM

Open Source, formerly Basho Technologies

Initial release

1984

2015

2014

1983

host version

2015

Current release

v20, April 2023

4.0.5, February 2024

12.1, October 2016

3.0.0, September 2022

License

Commercial or Open Source

commercial

Open Source

Simplified BSD License

Open Source

Apache License 2.0

commercial

free version is available

Open Source

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++

Scala

C and C++

Erlang

Server operating systems

OS X
Windows

FreeBSD
Linux
OS X

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
OS X

Data scheme

yes

schema-free

yes

schema-free

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

restricted

SQL

Support of SQL

yes

close to SQL 92

yes

yes, limited

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

Memcached protocol

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

HTTP API
Native Erlang Interface

Supported programming languages

4D proprietary IDE
PHP

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

yes

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

none

depending on storage layer

Sharding

only with Windows/Unix/Linux Version

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

depending on storage layer

yes

with separate tools (MQ, InfoSphere)

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

depending on storage layer

Eventual Consistency

Foreign keys

Referential integrity

yes

links between datasets can be stored

Transaction concepts

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

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.

depending on storage layer

User concepts

Access control

Users and groups

yes

depending on the DBMS used for storage

fine grained access rights according to SQL-standard

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