DBMS > Google Cloud Firestore vs. Sadas Engine vs. SiriDB vs. SiteWhere

System Properties Comparison Google Cloud Firestore vs. Sadas Engine vs. SiriDB vs. SiteWhere

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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.

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Open Source Time Series DBMS

M2M integration platform for persisting/querying time series data

Primary database model

Document store

Relational DBMS

Time Series DBMS

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

Score	7.45
Rank	#54	Overall
	#9	Document stores

Score	0.00
Rank	#341	Overall
	#142	Relational DBMS

Score	0.05
Rank	#314	Overall
	#28	Time Series DBMS

Score	0.01
Rank	#332	Overall
	#29	Time Series DBMS

Website

firebase.google.com/products/firestore

www.sadasengine.com

siridb.net

sitewhere.io

Technical documentation

firebase.google.com/docs/firestore

www.sadasengine.com/index.php/downloads/documentation-columnar-db

docs.siridb.net

sitewhere.io/docs/2.1.0

Developer

Google

SADAS s.r.l.

Transceptor Technology

SiteWhere

Initial release

2017

2006

2017

2010

Current release

8.0

License

Commercial or Open Source

commercial

free trial version available

Open Source

MIT License

Open Source

Common Public Attribution License Version 1.0

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

C++

Java

Server operating systems

hosted

AIX
Linux
Windows

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

predefined scheme

Typing

predefined data types such as float or date

yes

Numeric data

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.

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
ODBC
Proprietary protocol

HTTP API

HTTP REST

Supported programming languages

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

.Net
C
C#
C++
Groovy
Java
PHP
Python

C
C++
Go
Python

Server-side scripts

Stored procedures

yes, Firebase Rules & Cloud Functions

Triggers

yes, with Cloud Functions

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

none

yes

selectable replication factor

based on HBase

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

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

managed by 'Learn by Usage'

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.

Access rights for users, groups and roles according to SQL-standard

simple rights management via user accounts

Users with fine-grained authorization concept

More information provided by the system vendor

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Recent citations in the news

Google Cloud Supports Ruby on Cloud Functions
13 February 2021, InfoQ.com

Moving Events Handling to Cloud with Google Eventarc Functionality
2 February 2021, AiThority

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Google unveils Android Performance Tuner, Android GPU Inspector, and Cloud Firestore for game developers
23 March 2020, VentureBeat

provided by Google News

Transceptor Technology Open Sources the Time Series Database SiriDB
1 February 2017, PR Newswire

provided by Google News

67 open source tools and resources for the Internet of Things (IoT)
23 January 2019, TechBeacon

9 Best & Top Open source IoT Platforms To Develop the IOT Projects
13 April 2019, H2S Media

Add a Framework
8 July 2016, ProgrammableWeb

Best Open Source Software List 2021
21 January 2016, Datamation

provided by Google News

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