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

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

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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 secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things data

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

Open Source Time Series DBMS

Primary database model

Document store

Relational DBMS

Since Version 12.10 support for JSON/BSON datatypes compatible with MongoDB

Relational DBMS

Time Series DBMS

Secondary database models

Document store
Time Series DBMS

with Informix TimeSeries Extension

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

Score	8.05
Rank	#51	Overall
	#9	Document stores

Score	22.34
Rank	#30	Overall
	#17	Relational DBMS

Score	0.00
Rank	#334	Overall
	#139	Relational DBMS

Score	0.04
Rank	#316	Overall
	#28	Time Series DBMS

Website

firebase.google.com/products/firestore

www.ibm.com/products/informix

www.sadasengine.com

siridb.net

Technical documentation

firebase.google.com/docs/firestore

informix.hcldoc.com
www.ibm.com/support/knowledgecenter/SSGU8G/welcomeIfxServers.html

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

docs.siridb.net

Developer

Google

IBM, HCL Technologies

Effective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.

SADAS s.r.l.

Transceptor Technology

Initial release

2017

1984

2006

2017

Current release

14.10.FC5, November 2020

8.0

License

Commercial or Open Source

commercial

free developer edition available

commercial

free trial version available

Open Source

MIT License

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, C++ and Java

C++

Server operating systems

hosted

AIX
HP-UX
Linux
macOS
Solaris
Windows

AIX
Linux
Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Since Version 12.10 support for JSON/BSON datatypes

yes

Numeric data

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
JSON API

MongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API

JDBC
ODBC
Proprietary protocol

HTTP API

Supported programming languages

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

.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

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

C
C++
Go
Python

Server-side scripts

Stored procedures

yes, Firebase Rules & Cloud Functions

yes

Triggers

yes, with Cloud Functions

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Multi-source replication
Source-replica replication

none

yes

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

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.

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.

Users with fine-grained authentication, authorization, and auditing controls

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

simple rights management via user accounts

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

show all

Recent citations in the news

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

Google Releases Eventarc into General Availability
31 January 2021, InfoQ.com

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

Global Relational Databases Software Market 2025: Microsoft, MySQL, Oracle, SAP, PostgreSQL, Amazon RDS, IBM, MariaDB, Informix, Teradata, SQLite – The Bisouv Network
26 February 2021, The Bisouv Network

Embedded Database Management Systems Market Size and Forecast (2021-2027) | By Top Leading Players �� IBM, Microsoft, Oracle, Centura Software, Software AG, Informix, PointBase
16 February 2021, NeighborWebSJ

Database Management Software Market Trends, Sales, Revenue, Supply, Demand, Growth, SWOT Analysis, By Top Players- IBM MySQL SAP SolarWinds ADABAS Oracle Informix Teradata Microsoft FileMaker Redis SQLite DbVisualizer MongoDB PostgreSQL Amazon RDS
26 February 2021, NY Market Reports

Relational Databases Software Market Trends, Sales, Revenue, Supply, Demand, Growth, SWOT Analysis, By Top Players- Microsoft MariaDB SAP MySQL IBM Oracle Teradata Amazon RDS PostgreSQL Informix SQLite
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Global Relational Databases Software Market 2025 In-Depth Research and Growth Drivers: Microsoft, MySQL, Oracle, SAP, PostgreSQL, Amazon RDS, IBM, MariaDB, Informix, Teradata, SQLite
26 February 2021, South Florida Theater Review

provided by Google News

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

provided by Google News

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