DBMS > Google Cloud Firestore vs. Oracle Rdb vs. RisingWave vs. STSdb

System Properties Comparison Google Cloud Firestore vs. Oracle Rdb vs. RisingWave vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

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.

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Document store

Relational DBMS

Key-value store

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

Score	6.63
Rank	#54	Overall
	#9	Document stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Score	0.03
Rank	#365	Overall
	#54	Key-value stores

Website

firebase.google.com/products/firestore

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

www.risingwave.com/database

github.com/STSSoft/STSdb4

Technical documentation

firebase.google.com/docs/firestore

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

docs.risingwave.com/docs/current/intro

Developer

Google

Oracle, originally developed by Digital Equipment Corporation (DEC)

RisingWave Labs

STS Soft SC

Initial release

2017

1984

2022

2011

Current release

7.4.1.1, 2021

1.2, September 2023

4.0.8, September 2015

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

GPLv2, commercial license available

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

Rust

Server operating systems

hosted

HP Open VMS

Docker
Linux
macOS

Windows

Data scheme

schema-free

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

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

yes

primitive types and user defined types (classes)

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

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

JDBC
PostgreSQL wire protocol

.NET Client API

Supported programming languages

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

Go
Java
JavaScript (Node.js)
Python

C#
Java

Server-side scripts

Stored procedures

yes, Firebase Rules & Cloud Functions

UDFs in Python or Java

Triggers

yes, with Cloud Functions

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

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

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.

yes

User concepts

Access control

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

Users and Roles

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More resources

DB-Engines blog posts

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