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Aiven Platform vs Azure Stream Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Aiven Platform
Ranking in Streaming Analytics
13th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
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
 

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Aiven Platform is 1.4%, down from 1.4% compared to the previous year. The mindshare of Azure Stream Analytics is 12.6%, down from 13.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

MR
Aug 30, 2024
Faster and easier to use with less maintenance
We haven't had any significant issues so far. Our manager can escalate issues to the solution's engineers even when we have issues. They provide a fast response to our incidents and solve our issues. After solving the problem, the engineers also look into the issue to find the root cause. We've contacted their support before. We submit support tickets and follow up with our account manager. The account manager can then follow up with the engineers, which helps the ticket get processed faster. Their support team has several experts, especially in Apache Kafka. We can always ask them about specific issues. For example, our principal engineer once asked about Kafka offset, and the account manager was able to handle it and provide best practices.
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…

Quotes from Members

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

Pros

"What I like best about the tool is that the process for the services is faster compared to other methods. It's easier to use because Aiven for Apache Kafka handles the maintenance, so we have less to manage. We only use Kafka to manage its connectivity."
"The most valuable features are the IoT hub and the Blob storage."
"Technical support is pretty helpful."
"It's scalable as a cloud product."
"Provides deep integration with other Azure resources."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"It's a product that can scale."
"We find the query editor feature of this solution extremely valuable for our business."
"The way it organizes data into tables and dashboards is very helpful."
 

Cons

"One challenge we face is when we want to update the version, for example, from 3.6 to 3.7. It will spawn new nodes, and then there's rebalancing and syncing from other brokers. There's high CPU usage during this process, so the solution can't be used for a while, causing some downtime in our services. To tackle this challenge, we schedule maintenance updates during low-traffic periods when there's less risk and fewer users use the services."
"Early in the process, we had some issues with stability."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
"The collection and analysis of historical data could be better."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"The UI should be a little bit better from a usability perspective."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"Azure Stream Analytics is a little bit expensive."
"The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
13%
Manufacturing Company
7%
Educational Organization
7%
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
8%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Aiven for Apache Kafka?
One challenge we face is when we want to update the version, for example, from 3.6 to 3.7. It will spawn new nodes, and then there's rebalancing and syncing from other brokers. There's high CPU usa...
What is your primary use case for Aiven for Apache Kafka?
I use Aiven for Apache Kafka to handle services dependent on each other. Instead of API calls, we use it for asynchronous processing of all our services. That's the general way we use it.
What advice do you have for others considering Aiven for Apache Kafka?
Apache Kafka is really good for streaming data or messaging services. It's comparable to other messaging services. Overall, I'd rate Aiven for Apache Kafka an eight out of ten.
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...
 

Also Known As

No data available
ASA
 

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Overview

 

Sample Customers

Information Not Available
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: October 2024.
814,649 professionals have used our research since 2012.