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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
8.0
Number of Reviews
24
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

reviewer2539719 - PeerSpot reviewer
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
Easy to set up and user-friendly, but could be priced better
I haven't come across missing items. It does what I need it to do. The pricing is a little bit high. The UI should be a little bit better from a usability perspective. The endpoint, if you are outsourcing to a third party, should have easier APIs. I'd like to have more destination sources available to us.

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 solution's most valuable feature is its ability to create a query using SQ."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"Provides deep integration with other Azure resources."
"Technical support is pretty helpful."
"It's a product that can scale."
"The solution has a lot of functionality that can be pushed out to companies."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"We use Azure Stream Analytics for simulation and internal activities."
 

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."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
"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."
"Azure Stream Analytics is challenging to customize because it's not very flexible."
"Its features for event imports and architecture could be enhanced."
"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's interface could be simpler to understand for non-technical people."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."
 

Pricing and Cost Advice

Information not available
"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."
"Azure Stream Analytics is a little bit expensive."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"The current price is substantial."
"The cost of this solution is less than competitors such as Amazon or Google Cloud."
"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."
"I rate the price of Azure Stream Analytics a four out of five."
"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."
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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
15%
Financial Services Firm
14%
Manufacturing Company
8%
Insurance Company
6%
 

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: November 2024.
816,406 professionals have used our research since 2012.