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Azure Stream Analytics vs Google Cloud Dataflow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Stream Analytics
Ranking in Streaming Analytics
4th
Average Rating
8.2
Number of Reviews
23
Ranking in other categories
No ranking in other categories
Google Cloud Dataflow
Ranking in Streaming Analytics
8th
Average Rating
7.8
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 12.6%, down from 13.5% compared to the previous year. The mindshare of Google Cloud Dataflow is 8.3%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Sudhendra Umarji - PeerSpot reviewer
May 29, 2022
Easy to set up and user-friendly, but could be priced better
It's used primarily for data and mining - everything from the telemetry data side of things It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot. It is easy to set up. The solution is stable and reliable.  It's a…
Tamer Talal - PeerSpot reviewer
Feb 14, 2024
A tool useful for data transmission and data storage that needs to improve its authentication area
I use the solution in my company for data transmission and data storage One of the good features of the product is the overall capacity that it provides to its users. Though the speed of the product is good, the main feature of the product that I like is its capacity. The authentication part of…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The solution has a lot of functionality that can be pushed out to companies."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"It's easy to implement and maintain pipelines with minimal complexity."
"We use Azure Stream Analytics for simulation and internal activities."
"It provides the capability to streamline multiple output components."
"The way it organizes data into tables and dashboards is very helpful."
"We find the query editor feature of this solution extremely valuable for our business."
"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."
"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."
"It is a scalable solution."
"The service is relatively cheap compared to other batch-processing engines."
"The solution allows us to program in any language we desire."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
 

Cons

"Easier scalability and more detailed job monitoring features would be helpful."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"I would like to have a contact individual at Microsoft."
"The solution's interface could be simpler to understand for non-technical people."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"The initial setup is complex."
"Azure Stream Analytics is challenging to customize because it's not very flexible."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
"Google Cloud Dataflow should include a little cost optimization."
"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."
"The deployment time could also be reduced."
"The technical support has slight room for improvement."
"The solution's setup process could be more accessible."
"The authentication part of the product is an area of concern where improvements are required."
 

Pricing and Cost Advice

"The product's price is at par with the other solutions provided by the other cloud service providers in the market."
"When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we've found ways to optimize costs using tools like Databricks for specific tasks."
"There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"The cost of this solution is less than competitors such as Amazon or Google Cloud."
"The current price is substantial."
"I rate the price of Azure Stream Analytics a four out of five."
"Azure Stream Analytics is a little bit expensive."
"The tool is cheap."
"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
"Google Cloud is slightly cheaper than AWS."
"The solution is cost-effective."
"The solution is not very expensive."
"Google Cloud Dataflow is a cheap solution."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."
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814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
8%
Insurance Company
5%
Financial Services Firm
17%
Computer Software Company
12%
Retailer
12%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which would you choose - Databricks or Azure Stream Analytics?
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 orga...
What is your experience regarding pricing and costs for Azure Stream Analytics?
When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we'v...
What needs improvement with Azure Stream Analytics?
Azure Stream Analytics is challenging to customize because it's not very flexible. It's good for quickly setting up and implementing solutions, but for building complex data pipelines and engineeri...
What do you like most about Google Cloud Dataflow?
The product's installation process is easy...The tool's maintenance part is somewhat easy.
What needs improvement with Google Cloud Dataflow?
The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the p...
 

Also Known As

ASA
Google Dataflow
 

Learn More

 

Overview

 

Sample Customers

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
Find out what your peers are saying about Azure Stream Analytics vs. Google Cloud Dataflow and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.