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Aiven Platform vs Confluent comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Aiven Platform
Ranking in Streaming Analytics
13th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Confluent
Ranking in Streaming Analytics
3rd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Streaming Analytics category, the mindshare of Aiven Platform is 1.4%, up from 1.3% compared to the previous year. The mindshare of Confluent is 8.8%, down from 11.9% 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.
Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Has good technical support services and a valuable feature for real-time data streaming
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.

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."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"We mostly use the solution's message queues and event-driven architecture."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"The client APIs are the most valuable feature."
 

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 is no local support team in Saudi Arabia."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"It could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"They should remove Zookeeper because of security issues."
"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."
"Confluent's price needs improvement."
 

Pricing and Cost Advice

Information not available
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is an expensive solution."
"You have to pay additional for one or two features."
"It comes with a high cost."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
15%
Retailer
6%
Real Estate/Law Firm
6%
Financial Services Firm
20%
Computer Software Company
17%
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.
What do you like most about Confluent?
I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and to...
What is your experience regarding pricing and costs for Confluent?
Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenanc...
What needs improvement with Confluent?
One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it c...
 

Comparisons

 

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Sample Customers

Information Not Available
ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: December 2024.
830,455 professionals have used our research since 2012.