user-friendly, visual, low-code/no-code interface that simplifies data pipeline creation with a drag-and-drop approach Review collected by and hosted on G2.com.
i couldnt think any reason to dislike it Review collected by and hosted on G2.com.
1. Works well in real-time and batches
2. Low code visual UI
3. Easier deployment
4. Probably work well with IBM ecosystem. But not tried yet. Review collected by and hosted on G2.com.
1. Enterprise grade costing would be tricky.
2. Though simple features are easier to learn but advanced ones are complex and time taking whole learning.
3. Overall limited community of IBM ecosystem I'm compare to competitors Review collected by and hosted on G2.com.
I really like how IBM StreamSets now works with watsonx—it makes building and managing data pipelines feel a lot smoother. The smart automation, clear data tracking, and built-in quality checks save time and reduce guesswork.
Review collected by and hosted on G2.com.
One thing IBM StreamSets could improve is making the interface a bit more beginner-friendly. Also, faster and clearer error messages during pipeline issues would really help save time and reduce frustration.
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I really like how user friendly IBM StreamSets is, especially the drag and drop interface for designing data pipelines. It makes the process much easier without needing to write complex code. The platform supports both real-time and batch processing, and it has a wide range of connectors, which helped me integrate different data sources without much hassle. I also appreciated the built-in monitoring tools that helped me keep an eye on data flows and troubleshoot issues quickly. Review collected by and hosted on G2.com.
One downside I experienced was performance lag when handling large volumes of data it wasn’t always as fast as I needed. The error logs were sometimes difficult to interpret, especially for more complex issues. Also, while basic tasks were easy to manage, getting into advanced configurations took more time than I expected, and the documentation didn’t always provide clear guidance. Support response times could also be slow when I needed urgent help. Review collected by and hosted on G2.com.
The best thing is how simple it is to use. You don’t need to write much code and the drag and drop makes things fast. It connects to lots of sources which is helpful. Also the monitoring tools are good and helps when things go wrong. Review collected by and hosted on G2.com.
It can get slow when dealing with big amount of data or when you add many steps. The docs are sometimes confusing or missing stuff. Support takes time to respond sometimes and the price is a bit much for smaller teams. Review collected by and hosted on G2.com.
I like the updated ui which helps in visualizing the pipeline and debugging more easily. Review collected by and hosted on G2.com.
IBM streamsets serves much of my purpose, nothing as of now. Review collected by and hosted on G2.com.
Hi Rohit - thank you for taking the time to share your thoughts on StreamSets. Your detailed feedback is invaluable, and we appreciate your insights into both the strengths and considerations of our platform.
We're glad to hear that you find the graphical interface (GI) user-friendly for designing and implementing data pipelines. It's fantastic you are an active member of the Community and it's been a source of reliable support for you. We believe a vibrant and engaged community is crucial for the success of our users, and we're thrilled to know it's proving beneficial.
We're also pleased to hear that you find StreamSets to be valuable and well-suited for real-time data streaming scenarios, data drift handling and monitoring tools.
As we strive for continuous improvement, your feedback helps us to shape future developments and our product team is continuously working to enhance performance and provide solutions that cater to a wide range of integration needs.
If you ever have more insights to share or encounter any challenges, please don't hesitate to reach out to our support team at https://streamsets.com/about-us/contact-us. We're here to assist you.
See how IBM StreamSets improved
streamsets helped me to process real-time data efficiently. so, the efficiency impressed me a lot. Review collected by and hosted on G2.com.
I haven't experienced any major issues yet. Also, i am a fresher in this platform, so I haven't experienced the maximum potential of this StreamSets. Review collected by and hosted on G2.com.
Costumer support and their regular follow up system on users. Review collected by and hosted on G2.com.
The promotion emails and updates for the category which are not belongs to. Review collected by and hosted on G2.com.
Projects for workspace management, Full autoscaling on Kubernetes, Easier installation and uninstallation, New Data Collector features, Python SDK improvements and User-friendly drag-and-drop interface Review collected by and hosted on G2.com.
Better support for Data Collector Edge and Docker image transition also in terms of Project feature access and Documentation clarity Review collected by and hosted on G2.com.
It has cool UI and interface and user friendly Review collected by and hosted on G2.com.
Wanted to see atleast more modifications and more stand out features Review collected by and hosted on G2.com.