Aiven Platform Reviews

Name: Aiven Platform
Brand: Aiven
Rating: 4.0 (1 reviews)

Vendor: Aiven

4.0 out of 5

1 review
100% willing to recommend

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.

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Aiven Platform is the #13 ranked solution in Streaming Analytics tools. PeerSpot users give Aiven Platform an average rating of 8.0 out of 10. Based on the analysis of the 1 most recent Aiven Platform reviews, the overall sentiment is positive, with a sentiment score of 6.5. (Among the lowest in the category). Aiven Platform is most commonly compared to Confluent: Aiven Platform vs Confluent. Aiven Platform is popular among the large enterprise segment, accounting for 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 21% of all views.

Buyer's Guide

Streaming Analytics

December 2024

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Helped 824,067 peers since 2012

Aiven Platform mindshare

As of December 2024, the mindshare of Aiven Platform in the Streaming Analytics category stands at 1.4%, up from 1.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

Key learnings from peers

Last updated Dec 18, 2024

Valuable Features

"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

"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."