

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I see a return on investment with Aiven Platform, as there is money saved compared to other platforms.
I see it as an investment as it eliminates our need for infrastructure to manage databases or tools.
I have seen a return on investment with Aiven Platform, as the biggest return came from saving the direct infrastructure costs.
If I encounter any issues such as losing data or query problems, support is available.
The downtime decreases from seventy to twenty percent, which is noteworthy.
My experience with Aiven Platform regarding accuracy and reliability is very good, as there have been no major issues in production.
They can manage most of our queries, and for what they cannot manage, they guide us through the process of finding out.
Amazon's support is excellent.
The scalability of Aiven Platform is great.
It supports automatic scaling, high availability, and can handle growing workloads without significant infrastructure management.
Aiven Platform's governance and security are strong, as it includes a comprehensive suite of compliance standards such as NIST and HIPAA.
The functionality for scaling comes out of the box and is very effective.
As a B2B enterprise client, our clientele consists of large ticket clients but low amounts of users.
Aiven Platform provides 99.99% uptime, which demonstrates strong reliability.
It enables us to manage a database automatically, retrieve data, and store data.
Aiven Platform is stable, and I have not experienced any downtime throughout my usage.
It doesn't require any maintenance on my end yet, as I haven't had any issues.
Regarding Aiven Platform's AI capabilities, I think it could improve by providing more granular role-based access control, enhancing audit logging, clearer compliance reporting, and more centralized policy management for governance and security.
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.
I would appreciate more documentation of workflows in Aiven Platform, such as details on Cloud jobs and GCP buckets, since having additional resources would be beneficial.
The increase in cloud costs by 50% to 60% does not justify the savings.
The only issue with Amazon MSK that we are facing is the configurations.
I had to remove and drop all the clusters and recreate them again, which is complicated in a production environment.
This reduced costs to 30 rupees compared to 100 rupees previously with other providers, resulting in a 70% cost efficiency.
It is competitively priced and cost-effective compared to managing infrastructure ourselves.
Pricing seemed higher, but when considering the operational efforts, it became clear and I found the overall experience to be simple and predictable.
Once we started using Kafka, our cloud costs rose by 50% to 60%.
We use Kafka M5 Large instance, and depending on the instances, that is the cost we have, along with storage cost and data transfer costs.
Among those features, the one that stands out most is the automatic management and scalability, as it reduces the operational workload, ensures reliability, and allows the team to focus on building applications instead of managing infrastructure.
It provides 99.99% uptime.
Aiven Platform's automation has specifically helped my team day-to-day, as those managed capabilities save my DevOps team a significant amount of time every month by eliminating the need to plan maintenance.
The scalability and usability are quite remarkable.
The best features of Amazon MSK are the real-time analytics that are excellent.
Amazon MSK is basically Kafka in the cloud, and when you need to create a cluster of Kafka brokers, Amazon MSK helps with that by automatically creating all the brokers according to the configuration you provide.
| Product | Mindshare (%) |
|---|---|
| Amazon MSK | 4.0% |
| Aiven Platform | 2.4% |
| Other | 93.6% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 7 |
| Large Enterprise | 5 |
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.
Amazon MSK offers seamless AWS integration, simplifying development and operation. It supports efficient data streaming and ensures cost-effective scalability without additional setup needs.
Amazon MSK stands out for its effortless creation, deployment, and access to new features without complex VPC configurations. Automating scalability, it demands minimal intervention, making it ideal for high-volume workflows. Developers benefit from real-time analytics, event sourcing, and log ingestion, aiding in dashboard maintenance and user log tracking. However, integration challenges exist as some face inflexibility, intricate configurations, and plugin development difficulties. Schema validation, connector variety, and complex update processes lead some to seek alternatives. Noteworthy for order data streaming, transaction tracking in retail and banking, and other real-time data applications, Amazon MSK remains attractive despite high cost concerns.
What are Amazon MSK's key features?In retail and banking, Amazon MSK facilitates order data streaming and transaction tracking. Its capabilities in supporting CDC pipelines, high-volume data management, and asynchronous processes make it favorable for integrating systems, streaming IoT data, and managing dashboard flows. Challenges in integration and configuration persist, nudging users to explore different options in certain contexts.
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