

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.
The incidents have disappeared completely since I have been using Striim.
Since it is now one to two hours, I would say it has saved employee hours and time.
Time savings are crucial since it saves considerable time, which positively impacts the return on investment.
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.
Since it originated from Oracle GoldenGate, the customer service, support, or whatever help is required is the best.
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 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.
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.
It doesn't require any maintenance on my end yet, as I haven't had any issues.
That problem has been completely resolved with Striim.
Striim was very stable.
Striim has proven stable in my experience, as I have not encountered any downtime or disruptions.
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.
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.
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.
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
My experience with pricing, setup cost, and licensing is that it is costly.
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
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.
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 (%) |
|---|---|
| Amazon MSK | 3.8% |
| Striim | 1.9% |
| Other | 94.3% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 8 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 5 |
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.
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.