

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.
The incidents have disappeared completely since I have been using Striim.
Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.
Since it is now one to two hours, I would say it has saved employee hours and time.
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.
Customer service usually responds promptly.
They are all knowledgeable about what they do.
When you contact them, they give you a response straight away and help you identify the issue and fix it.
The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.
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.
Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.
When it comes to scaling with Striim as workloads increase, it has been quite helpful and could adapt easily, saving considerable time in delegation and follow-up because I only need to roll back scripts to ensure that nothing goes wrong.
I would describe the scalability of Striim as very good, as it adapts well.
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.
That problem has been completely resolved with Striim.
Striim was very stable.
In my experience, Striim is mostly stable.
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.
I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.
They could improve the documentation by showing how to configure with different platforms.
Striim can be improved by providing tools such as short videos or step-by-step manuals to clearly demonstrate its capabilities and help users learn quickly.
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.
The cost for hosting with Aiven Platform seems high compared to managing it ourselves.
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
It's very fair.
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.
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.
Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.
There were significant improvements because once we enabled change data capture, the database was not going down at all.
It reduces manual intervention because it automatically syncs the data from the warehouse.
| Product | Mindshare (%) |
|---|---|
| Aiven Platform | 2.2% |
| Striim | 1.8% |
| Other | 96.0% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 4 |
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.
Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.
Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.
What are some key features of Striim?In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.