DBMS > 4D vs. Databricks vs. DataFS vs. GeoMesa

System Properties Comparison 4D vs. Databricks vs. DataFS vs. GeoMesa

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

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

Primary database model

Relational DBMS

Document store
Relational DBMS

Object oriented DBMS

Spatial DBMS

Secondary database models

Graph DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	81.08
Rank	#15	Overall
	#2	Document stores
	#10	Relational DBMS

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Website

Technical documentation

developer.4d.com

docs.databricks.com

dev.mobiland.com/Overview.xsp

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

Developer

4D, Inc

Databricks

Mobiland AG

CCRi and others

Initial release

1984

2013

2018

2014

Current release

v20, April 2023

1.1.263, October 2022

5.0.0, May 2024

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

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

Scala

Server operating systems

OS X
Windows

hosted

Windows

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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

SQL

Support of SQL

yes

close to SQL 92

with Databricks SQL

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
RESTful HTTP API

.NET Client API
Proprietary client DLL
WinRT client

Supported programming languages

4D proprietary IDE
PHP

Python
R
Scala

.Net
C
C#
C++
VB.Net

Server-side scripts

Stored procedures

yes

user defined functions and aggregates

Triggers

yes

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

none

Proprietary Sharding system

depending on storage layer

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

depending on storage layer

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

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

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

Windows-Profile

yes

depending on the DBMS used for storage

More information provided by the system vendor

Specific characteristics

Supported database models : In addition to the Document store and Relational DBMS...
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More resources

DB-Engines blog posts

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Databricks Agrees to Acquire Tabular, the Company Founded by the Original Creators of Apache Iceberg USA - English
4 June 2024, PR Newswire

Databricks buys Tabular to win the Iceberg war – Blocks and Files
5 June 2024, Blocks and Files

Databricks to buy data management firm Tabular for over $1 bln
4 June 2024, Reuters

Fenwick Represents Databricks in its Pending Acquisition of…
4 June 2024, Fenwick & West LLP

Databricks' $1B Tabular buy raises questions around table format wars
5 June 2024, The Register

provided by Google News

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