Name: Azure Stream Analytics
Price: 0.11 USD
Rating: 8 (3 reviews)
Author: Microsoft

Help Desk

Web and Video Conferencing

Customer Support

PHP Frameworks

Text Editors

Development

Admissions and Enrollment

Online Proctoring Software

Education

Business Intelligence (BI)

Collaboration

Contract Analysis

Corporate Performance Management (CPM)

Payment Facilitation

Visitor Management

Whistleblowing

Enterprise

Accounting

Payment Hubs

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employer of Record (EOR)

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Complex Event Processing

Data Pipeline

Data Virtualization

Database-as-a-Service (DBaaS)

Disk Cloning

Endpoint Security

Enterprise Service Bus

Extended Detection and Response (XDR)

Firewall

Fraud Detection

Hosted Virtual Desktop

Integration Platform as a Service (iPaaS)

Interoperability

Network Performance Monitoring

Software Defined Networking (SDN)

Storage as a Service (STaaS)

User Virtualization

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Content Management

Email Marketing

Marketing Attribution

Marketing Automation

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Proposal

Sales Intelligence

Sales

Data-Centric Audit Protection (DCAP)

Intrusion Detection

Operational Technology (OT) Security

Security

Aviation

Construction Accounting

Construction Takeoff and Estimating

Fleet Maintenance

Fleet Management

Insurance Policy Administration Systems

Online Fax

Population Health Management

Public Transportation

Telemedicine

Text Analysis

Vertical-Specific

IBM Streams

Likelihood to Recommend

Streaming Analytics

Real-Time Data Analysis

Visualization Dashboards

Data Ingestion from Multiple Data Sources

Low Latency

Integrated Development Tools

Data wrangling and preparation

Linear Scale-Out

Machine Learning Automation

Data Enrichment

Google Cloud Dataflow

Google

Spotfire Streaming

Support Rating

Spotfire

Amazon Kinesis

Amazon AWS

Confluent

StreamSets DataOps Platform

StreamSets

Apache Spark Streaming

Apache

Apache Flink

Azure Anomaly Detector

Microsoft

Tech Cares 2020

Tech Cares 2022

Microsoft offers Azure Stream Analytics for IoT and connected devices,  supporting real-time analytics and reporting.

Standard

Dedicated

large

small

medium

Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.

Amazon Kinesis Data Streams

Amazon Kinesis Data Firehose

Amazon Kinesis Data Analytics

Amazon Kinesis Video Streams

Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.

Striim Platform

Striim Cloud Enterprise Platform

Striim

Data Integration

Data Source Connection

Data Transformations

Data Modeling

Data Governance

Connect to traditional data sources

Connecto to Big Data and NoSQL

Simple transformations

Complex transformations

Data model creation

Metadata management

Business rules and workflow

Testing and debugging

Integration with data quality tools

Integration with MDM tools

Azure Stream Analytics

Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.

Check Out Our Azure Blog - http://blog.pragmaticworks.com/topic/azure Azure Stream Analytics is Microsoft's platform for delivering real-time insights on your data.  

In this webinar, we'll discuss how you can use Azure Stream Analytics in your environment and everything you need to get up and running.   We'll also demo an end-to-end setup to see the platform in action.


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On-Demand Learning Free Trial: https://www.pragmaticworkstraining.com/trial-registration/?source=odl_youtubeorg

Free training every Tuesday at 11am EST https://pragmaticworks.com/resources/

Pragmatic Works Blog: http://blog.pragmaticworks.com/ 
 
Let's connect:
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Facebook: https://www.facebook.com/pragmaticworks/
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YouTube: https://www.youtube.com/pragmaticworks
 
Pragmatic Works
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Phone: (904) 413-1911
Email: hello@pragmaticworks.com

Introduction to Azure Stream Analytics

Processing Realtime Tweets with Azure Stream Analytics, PowerBI & PowerBI Designer

This Screen cast shows how you can use Cosmos DB Change Feed, Azure Function and Azure Stream Analytics to do GROUP BY aggregation and save the result back in Cosmos DB.

Here is the code for demo shown in this screen cast. https://github.com/rafats/Presentations
Please see Cosmos DB, Azure Functions and Visual studio integration here https://www.youtube.com/watch?v=Mnq0O91i-0s

Using Azure Stream Analytics with Cosmos DB

Azure Stream Analytics: Managing timelines and coding on IoT Edge | Azure Friday

Information Technology & Services

Do more with less. At Microsoft we empower people and businesses throughout the world realize their full potential and achieve more. We make this simple mission come to life every day through our passion to create technologies and develop products that touch just about every kind of customer. With Microsoft for Nonprofit, we offer industry leading products as standalone solutions, but they're even better when used together. Our modular and extensible cloud platform allows your organization to start with your needs and adapt as you grow. These solutions provide foundational systems ranging from security and business applications to modern work tools and data and AI integration. Support you donors, volunteers, and constituents with tools and applications that help improve fundraising, engagement, training, data intelligence and much more. With Microsoft for Nonprofit we're here to help your organization expand beyond the boundaries and do more with less.

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

Easy-to-understand pictorial illustration of data with graphs charts and dashboards

Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or
data-point

Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined
functions and operators

Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

Machine learning helps automate predictive scoring on streaming data

Ability to enrich the data stream with static reference data

Reviews

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Slightly difficult

Real time

Time data

Real time data

Data analysis

Parallel processing

Video streaming

Easy and intuitive

Intuitive to use

Home

Streaming Analytics Software

Microsoft Azure

Microsoft Azure IoT Hub

AWS IoT Analytics

Microsoft Azure IoT Edge

Azure Event Hubs

AWS IoT, duplicate

IoT HuB

Azure Stream Analytics is used to calculate the cycle time from the tags also it is responsible for data enrichment for further calculations.

Product Usage

Pros and Cons

Routing of data from multiple inputs to multiple output
You create your own user define function.
Intermediate query is working very effectively.

Things done well

Code competency is not that much effective
Ml models can't be integrated with stream analytics

Things done poorly

Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.

Feature Ratings

Very nice roi while using it.
Multiple integration is the best functionality

Return on Investment

Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics

Alternatives

Azure Event Hubs, Microsoft Azure IoT Hub, Microsoft Azure IoT Edge

Other Software Used

Azure Stream Analytics 2023-10-25 13:21:21

Deployment Types	Software as a Service (SaaS), Cloud, or Web-Based
Operating Systems	Unspecified
Mobile Application	No

Azure Stream Analytics

Overview

What is Azure Stream Analytics?

Stream analytics for real time processing

Awards

Reviewer Pros & Cons

Pricing

Standard

$0.11

Dedicated

$0.11

Entry-level set up fee?

Offerings

Starting price (does not include set up fee)

Product Demos