

Find out in this report how the two Data Integration 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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
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.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
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 (%) |
|---|---|
| Striim | 0.6% |
| StreamSets | 1.1% |
| Other | 98.3% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 5 |
StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.
StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.
What are the key features of StreamSets?In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.
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.
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