2018-08-22T11:28:00Z
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
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What is your primary use case for Azure Stream Analytics?

How do you or your organization use this solution?

Please share with us so that your peers can learn from your experiences.

Thank you!

9
PeerSpot user
9 Answers
JeffryChia - PeerSpot reviewer
Manager | Advisory PI | Data & Analytics at Ernst & Young
Real User
Top 10
2022-09-19T13:26:34Z
Sep 19, 2022

The product is used just for the extraction, transforming, and loading of the data to the data warehouse.

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Lalani Samir - PeerSpot reviewer
Senior Xamarin Developer at Ezyhaul
Real User
Top 5
2022-08-12T07:27:34Z
Aug 12, 2022

Our primary use case involves using the app centre to retrieve lifeline data. However, the lifeline is not retrievable from the app centre due to recent changes, so we get it from Azure.

Sudhendra Umarji - PeerSpot reviewer
Technical Architect at Infosys
MSP
Top 5
2022-05-29T12:44:00Z
May 29, 2022

It's used primarily for data and mining - everything from the telemetry data side of things.

SR
Associate Principal Analyst at a computer software company with 10,001+ employees
Real User
Top 20
2021-09-24T19:49:20Z
Sep 24, 2021

We were doing some level of stream data processing, so we had some use cases which were related to IoT. We had some IoT devices getting data in from other IoT devices and Azure Streaming Analytics has a special streaming analytics offering for IoT devices. Basically it was used for that.

SK
Consultant
Real User
2021-01-29T16:07:52Z
Jan 29, 2021

The company I'm working for is basically one of the biggest companies in the entire Gulf region, including Dubai, Qatar, and Oman. Our core domain is providing logistics. They have different warehouses across the country, and we use it to track the movement of forklifts and people working at the warehouses. The main thing we are focusing on right now is accident avoidance. For example, one forklift is coming through one aisle, and another person is trying to enter the same aisle. We provide a solution that can track the person and forklift in real-time. We're also using it to solve many business problems one by one. Stream Analytics plays a major role in streaming all these huge datasets because we have warehouses spread across the country. It's able to handle millions and millions of events in a few seconds.

Yasmina Ali - PeerSpot reviewer
Collaboration Consultant at a tech services company with 201-500 employees
Consultant
2020-10-11T08:58:04Z
Oct 11, 2020

I used it once for a project demo to a customer for an IoT solution. In this demo, the data was collected from the sensors, and it was sent to Power BI reports. The collected data was analyzed by using the analytics tools to get some insights. This project was the first project for our company to start the development of IoT solutions. We have only used it for a demo, and we have kept it for demo for other customers. If any customer wants to deploy it, we would use it in production.

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AF
BI Developer at a tech services company with 51-200 employees
Real User
2020-09-22T07:16:06Z
Sep 22, 2020

Our primary use case is mainly to ingest real time data streams into permanent storage places like databases, block storage, etc.

Alwin George Daniel - PeerSpot reviewer
RPA DevOps Engineer at SG Analytics
Real User
2020-09-22T07:16:06Z
Sep 22, 2020

We have different kinds of IoT devices placed in different countries including the UK, US, and others. They are configured with our IoT hub and we get the logs from them accordingly. We have these logs connected with the Stream Analytics suites and Microsoft Power BI. Whatever updates and other activity is happening on the devices are streamed into Azure and Power BI so that we can see them. If we find any error messages then we have to check the health of the corresponding IoT devices, databases, and configuration.

MA
Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees
Real User
2018-08-22T11:28:00Z
Aug 22, 2018

This solution is connected with our Microsoft license. We use the E3 license, which also includes the software and analytics. We bought it and we are trying to get the best we can from the software. For now, we have some analytics, what's happening, and one of our guys looks at it and prepares reports or maybe requests some additional interventions. It is mostly for analysis so that when something happens we can analyze it and do something about it.

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Netanya Carmi - PeerSpot reviewer
Content Manager at PeerSpot (formerly IT Central Station)
Oct 24, 2021
Why?
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Dovid Gelber - PeerSpot reviewer
Tech blogger
Oct 24, 2021
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their organizations, an easy-to-set-up program is essential to overall success. There is no precise timeline for how quickly Databricks can be set up by a given organization. That will likely be determined by the skill of the team tasked with implementing it. However, the documentation that is provided to aid in the setup is straightforward and goes a long way to ease the implementation of this solution. It is not unusual for the rollout to take as little as 20 minutes for an efficient team to complete. Databricks is also both highly flexible and versatile. If teams find that the scale of the product is such that they need to expand the load that it handles, then this can be accomplished with ease. The system actually offers recommendations to help optimize its efficiency. The only limit on its versatility is your organization’s budget. The support team that is responsible for aiding users when they face issues is extremely efficient and responsive. The support team even goes so far as to connect users so that they can share information that could improve the ability of those organizations to use this solution. Additionally, they are proactive and attempt to anticipate the potential needs of Databricks customers. Databricks is designed to overcome the problem of different coding environments only working with certain programs. The solution allows users to integrate their data into various environments as is required. This means that it becomes easier for people to work together and share information across platforms seamlessly. Azure Stream Analytics allows users to analyze data in real time. This can be extremely useful for organizations that rely on streams of data to do business. However, its ability to collect historical data leaves something to be desired. This serves as a disadvantage for companies that rely on such data to operate.Conclusion I would choose Databricks over Azure. Databricks’s ability to connect to many types of cloud service gives it an edge over Azure. This functionality makes it a more versatile and, in my opinion, more effective tool.
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Oct 11, 2022
Hi Everyone, What do you like most about Azure Stream Analytics? Thanks for sharing your thoughts with the community!
2 out of 10 answers
AF
BI Developer at a tech services company with 51-200 employees
Sep 22, 2020
Provides deep integration with other Azure resources.
Alwin George Daniel - PeerSpot reviewer
RPA DevOps Engineer at SG Analytics
Sep 22, 2020
The most valuable features are the IoT hub and the Blob storage.
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