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Aiven Platform Reviews

Vendor: Aiven
4.3 out of 5
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What is Aiven Platform?

Aiven for Apache Kafka is a robust data streaming platform utilized for real-time analytics, event-driven architectures, and message brokering, enhancing data processing across systems. It features scalable operations, excellent data replication, and comprehensive monitoring, significantly improving organizational efficiency and decision-making processes through high-level data management capabilities.

Get the Streaming Analytics Buyer's Guide and find out what your peers are saying about Aiven Platform, Qlik Talend Cloud, Confluent and more!
Aiven Platform is the #18 ranked solution in Streaming Analytics tools. PeerSpot users give Aiven Platform an average rating of 8.6 out of 10. Aiven Platform is most commonly compared to Qlik Talend Cloud: Aiven Platform vs Qlik Talend Cloud. Aiven Platform is popular among the large enterprise segment, accounting for 51% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 20% of all views.
Buyer's Guide
Streaming Analytics
February 2026
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Helped 884,328 peers since 2012

Aiven Platform mindshare

As of March 2026, the mindshare of Aiven Platform in the Streaming Analytics category stands at 2.2%, up from 1.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Aiven Platform2.2%
Apache Flink10.9%
Databricks9.0%
Other77.9%
Streaming Analytics
 
 
Key learnings from peers

Valuable Features

  • "One of the most valuable features of Aiven Platform is that it handles the upgrades for us seamlessly, saving us time that would be spent on routine upgrades."
  • "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."

Room for Improvement

  • "I would really like to see Aiven Platform add a user interface for database backups, as this would eliminate the need for a third-party solution."
  • "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."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Streaming Analytics Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
15%
Construction Company
7%
Media Company
7%
Hospitality Company
7%
Healthcare Company
7%
Manufacturing Company
5%
Comms Service Provider
4%
Educational Organization
4%
Government
4%
Outsourcing Company
3%
University
3%
Retailer
3%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Insurance Company
1%
Logistics Company
1%
Marketing Services Firm
1%
Non Profit
1%
Performing Arts
1%
Real Estate/Law Firm
1%
Recreational Facilities/Services Company
1%
Transportation Company
1%

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Product Categories

Product Categories
Streaming Analytics

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Aiven Platform Reviews Summary
Author infoRatingReview Summary
CTO and Co-Founder at PeerSpot4.5I use Aiven Platform to host our PostgreSQL and MySQL databases due to its seamless upgrade handling and reliable backups. However, a user interface for backups and more responsive customer service would improve the experience further.
System Engineer - Cloud Platform at a computer software company with 1,001-5,000 employees4.0I use Aiven for Apache Kafka mainly for asynchronous processing to manage service dependencies efficiently. Its fast, maintenance-free nature is valuable, though version updates cause downtime due to high CPU usage, which we mitigate by scheduling updates during low-traffic periods.