DBMS > 4D vs. Apache Pinot vs. Google Cloud Firestore vs. Oracle Rdb

System Properties Comparison 4D vs. Apache Pinot vs. Google Cloud Firestore vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.

Primary database model

Relational DBMS

Document store

Relational DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.38
Rank	#275	Overall
	#126	Relational DBMS

Score	7.36
Rank	#53	Overall
	#9	Document stores

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Website

www.4d.com

pinot.apache.org

firebase.google.com/products/firestore

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

developer.4d.com

docs.pinot.apache.org

firebase.google.com/docs/firestore

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

4D, Inc

Apache Software Foundation and contributors

Google

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

1984

2015

2017

1984

Current release

v20, April 2023

1.0.0, September 2023

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

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

Server operating systems

OS X
Windows

All OS with a Java JDK11 or higher

hosted

HP Open VMS

Data scheme

yes

schema-free

Flexible Schema (defined schema, partial schema, 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

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC

Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

Go
Java
Python

Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python

Server-side scripts

Stored procedures

yes

yes, Firebase Rules & Cloud Functions

Triggers

yes

yes, with Cloud Functions

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Using Cloud Dataflow

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

yes, on a single node

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.

User concepts

Access control

Users and groups

Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources

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