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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

Fully managed big data interactive analytics platform

Primary database model

Document store
Relational DBMS

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)
Spatial DBMS
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	0.69
Rank	#245	Overall
	#36	Document stores
	#113	Relational DBMS

Score	18.78
Rank	#38	Overall
	#6	Document stores

Score	6.51
Rank	#66	Overall
	#35	Relational DBMS

Website

alasql.org

firebase.google.com/products/realtime-database

azure.microsoft.com/services/data-explorer

Technical documentation

github.com/agershun/alasql

firebase.google.com/docs/database

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

Developer

Andrey Gershun & Mathias R. Wulff

Google

acquired by Google 2014

Microsoft

Initial release

2014

2012

2019

Current release

cloud service with continuous releases

License

Commercial or Open Source

Open Source

MIT-License

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

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

hosted

Data scheme

schema-free

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

Kusto Query Language (KQL), SQL subset

APIs and other access methods

JavaScript API

Android
iOS
JavaScript API
RESTful HTTP API

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

Supported programming languages

JavaScript

Java
JavaScript
Objective-C

.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

yes

Callbacks are triggered when data changes

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

Spark connector (open source): github.com/Azure/azure-kusto-spark

Consistency concepts

Methods to ensure consistency in a distributed system

none

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

only for local storage and DOM-storage

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

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

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

NoSQL in the Enterprise
21 April 2010, InfoQ.com

provided by Google News

Choosing the Right Database for your Mobile App & 7 Emerging Mobile App Databases
24 March 2023, Security Boulevard

From Scratch to Launch: Building a Free Messaging and Calling App
22 February 2023, hackernoon.com

How to Connect Your React App to Firebase - MUO
9 November 2022, MakeUseOf

Flatly Software Reviews, Demo & Pricing - 2023
24 March 2023, Software Advice

5 Best Cloud Computing Platforms to Watch Out for 2023
28 February 2023, Techgenyz

provided by Google News

Azure Data Explorer Supports Native Ingestion from Amazon S3
7 September 2022, InfoQ.com

What's new in Azure Data & AI: Empowering retailers to streamline ...
17 January 2023, azure.microsoft.com

Using Microsoft Azure and CyberProof to improve data maintenance
1 December 2022, Technology Record

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

Kusto Query Language primer for IT administrators
2 November 2022, TechTarget

provided by Google News

Job opportunities

Software Engineer
Lowe's, Charlotte, NC

iOS Developer(Swift / Flutter)
Lionheart Apps (OPC), United States

Mobile App Developer
Horizontal Digital, Indiana

Senior Unity Engineer
Grainger, Chicago, IL

Software Engineer
PHNTM, Remote

Azure Data Engineer
DHL eCommerce, Remote

Data Analyst
RLA Engineering, LLC, Remote

Data Pipelines Engineer
Microsoft, Redmond, WA

Azure Data engineer
Purple Drive Technologies, Memphis, TN

Data Engineer
Synapseb systems, Bellevue, WA

jobs by

Share this page