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

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

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.

Fully managed big data interactive analytics platform

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Document store

Relational DBMS

column oriented

Document store

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	18.78
Rank	#38	Overall
	#6	Document stores

Score	6.51
Rank	#66	Overall
	#35	Relational DBMS

Score	0.21
Rank	#342	Overall
	#48	Document stores

Website

firebase.google.com/products/realtime-database

azure.microsoft.com/services/data-explorer

github.com/xtdb/xtdb
xtdb.com

Technical documentation

firebase.google.com/docs/database

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

xtdb.com/docs

Developer

Google

acquired by Google 2014

Microsoft

Juxt Ltd.

Initial release

2012

2019

Current release

cloud service with continuous releases

1.19, September 2021

License

Commercial or Open Source

commercial

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

Clojure

Server operating systems

hosted

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

Fixed schema with schema-less datatypes (dynamic)

schema-free

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

yes, extensible-data-notation format

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

yes

SQL

Support of SQL

Kusto Query Language (KQL), SQL subset

limited SQL, making use of Apache Calcite

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

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

HTTP REST
JDBC

Supported programming languages

Java
JavaScript
Objective-C

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

Clojure
Java

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Yes, possible languages: KQL, Python, R

Triggers

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

Sharding

Implicit feature of the cloud service

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes, each node contains all data

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

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

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

Polybase Raises $2 Million USD in Pre-Seed Round to Build the ...
23 February 2023, Korea IT Times

Android voice chat app leaked private user conversations
22 February 2023, CyberNews.com

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

Google Cloud and MongoDB Expand Their Partnership
8 March 2023, WebProNews

How to Build a Chat App With React and Firebase - MUO
17 February 2023, MakeUseOf

provided by Google News

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

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

General availability of Azure OpenAI Service expands access to ...
16 January 2023, Microsoft

Azure Data Explorer gets new engine, numerous enhancements ...
14 October 2020, ZDNet

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

provided by Google News

Job opportunities

Software Engineer
Premier Lacrosse League, Torrance, CA

Software Engineer
PHNTM, Remote

React Developer
Fluree, Denver, CO

Business Systems Analyst
Capgemini, London, CA

Fintech Data & Backend Developer
aVenture, San Francisco, CA

Data Pipelines Engineer
Microsoft, Redmond, WA

Azure Data Engineer
DHL eCommerce, Remote

Senior Data Engineer
Microsoft, Redmond, WA

Azure Architect – R01522299
Brillio, Redmond, WA

Senior Technical Program Manager - Customer Experience - CTJ - Poly
Microsoft, Reston, VA

jobs by

Share this page