DBMS > Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Data Explorer

System Properties Comparison Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Data Explorer

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Embeddable relational database for web apps written in pure JavaScript

Fully managed big data interactive analytics platform

Primary database model

Document store

Relational DBMS

column oriented

Secondary database models

Document store

If a column is of type dynamic docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types/dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store

this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine

support for complex search expressions docs.microsoft.com/en-us/azure/kusto/query/parseoperator FTS, Geospatial docs.microsoft.com/en-us/azure/kusto/query/geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS

see docs.microsoft.com/en-us/azure/data-explorer/time-series-analysis

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

Score	18.92
Rank	#39	Overall
	#6	Document stores

Score	0.23
Rank	#283	Overall
	#133	Relational DBMS

Score	7.54
Rank	#58	Overall
	#34	Relational DBMS

Website

firebase.google.com/products/realtime-database

google.github.io/lovefield

azure.microsoft.com/services/data-explorer

Technical documentation

firebase.google.com/docs/database

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.microsoft.com/en-us/azure/data-explorer

Developer

Google

acquired by Google 2014

Google

Microsoft

Initial release

2012

2014

2019

Current release

2.1.12, February 2017

cloud service with continuous releases

License

Commercial or Open Source

commercial

Open Source

Apache 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

JavaScript

Server operating systems

hosted

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

hosted

Data scheme

schema-free

yes

Fixed schema with schema-less datatypes (dynamic)

Typing

predefined data types such as float or date

yes

bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types

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

all fields are automatically indexed

SQL

Support of SQL

SQL-like query language

via JavaScript builder pattern

Kusto Query Language (KQL), SQL subset

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API

Supported programming languages

Java
JavaScript
Objective-C

JavaScript

.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Yes, possible languages: KQL, Python, R

Triggers

Callbacks are triggered when data changes

Using read-only observers

yes

see docs.microsoft.com/en-us/azure/kusto/management/updatepolicy

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Eventual Consistency
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

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using MemoryDB

User concepts

Access control

yes, based on authentication and database rules

Azure Active Directory Authentication

More information provided by the system vendor

Specific characteristics

Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more

Competitive advantages

Kusto Query Language (innovative query language, optimized for high performance data...
» more

Typical application scenarios

IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more

Key customers

Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more

Market metrics

Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

Licensing and pricing models

An Azure Data Explorer cluster is a pair of engine and data management clusters which...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

Supabase raises $80M Series B for its open source Firebase alternative
10 May 2022, TechCrunch

Google's Firebase app development platform gets updates and security boosts
11 May 2022, SiliconANGLE News

How to Upload Files to Firebase Storage Using React.js - MUO
14 May 2022, MakeUseOf

BaaS: Cloud From the Outside In | No Jitter
25 April 2022, No Jitter

How to Store, Update, Delete, and Retrieve Data From a Firebase Database Using Angular - MUO
29 March 2022, MakeUseOf

provided by Google News

Uptake Fusion to Support Microsoft Azure Data Explorer
1 March 2022, PR Newswire

Full-Stack Observability with Grafana and Azure Monitor
10 May 2022, InfoQ.com

Google attacks Microsoft in the Field of Data Analytics and IoT
15 May 2022, Medium

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

provided by Google News

Job opportunities

Front End Engineer
Infinitus Systems Inc, San Francisco, CA

.Net Software Developer--FULLY REMOTE!!!
American Society of Health-System Pharmacists, Bethesda, MD

Data Engineer
Life.Church, Edmond, OK

Front End Developer
Sprinkler Warehouse, Houston, TX

Front End Engineer (Vue.JS,React.JS)
Modus Create, Miami, FL

Pre-K Teacher (Montessori)
Willow Montessori Academy, Dallas, TX

Senior Software Engineer (Hybrid Mobile and Web Apps)
Universal Avionics Systems Corporation, Duluth, GA

Azure Data Analyst
Better Future Solutions, Seattle, WA

Software Engineering: Full Time Opportunities Microsoft Leap
Microsoft, Redmond, WA

Data Engineer
intellipro, Remote

Site Reliability Engineer
SHGT, Remote

Data Scientist
Microsoft, Bellevue, WA

jobs by

Share this page