IBM StreamSets
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IBM Steamset review by me
What do you like best about the product?
user-friendly, visual, low-code/no-code interface that simplifies data pipeline creation with a drag-and-drop approach
What do you dislike about the product?
i couldnt think any reason to dislike it
What problems is the product solving and how is that benefiting you?
IBM StreamSets helps solve the problem of moving and handling large amounts of data quickly and easily, without lots of manual work or complicated coding—making it simple to connect different systems and get real-time information when it’s needed most. This means data is always fresh and useful, which leads to better decisions, smoother operations, and less stress about outdated or messy data
IBM StreamSets
What do you like best about the product?
Service that has been provided by IBM are very reliable
What do you dislike about the product?
The ui quality is not satisfactory thing in the whole process
What problems is the product solving and how is that benefiting you?
It helped me solve the migration scenarios to the best
The overall experience is good but still it need some improvements.
What do you like best about the product?
Costumer support and their regular follow up system on users.
What do you dislike about the product?
The promotion emails and updates for the category which are not belongs to.
What problems is the product solving and how is that benefiting you?
I personally think that Streamsets can add more shortcuts keys on thw website.
IBM StreamSets review: Powers and pitfalls of the streaming beast.
What do you like best about the product?
It excels at simplifying complex data integration workflows.
It's visual pipeline design makes it's intutive so that anyone can build ,deploy and test in most of the cases.
It supports wide range of connectors for real time data and batch processing .
Most effective feature of it is that it has built in data observation ability and lineage tracking.
This feature gives confidence to the team for their data pipeline reliability and compliance reporting .
This also handels high loads and made for high scalabilty & high throughput.
It's visual pipeline design makes it's intutive so that anyone can build ,deploy and test in most of the cases.
It supports wide range of connectors for real time data and batch processing .
Most effective feature of it is that it has built in data observation ability and lineage tracking.
This feature gives confidence to the team for their data pipeline reliability and compliance reporting .
This also handels high loads and made for high scalabilty & high throughput.
What do you dislike about the product?
It has steep learning curve, especially when u have use some advance features deep technical knowledge of data engineering and related fields is required.
UI feels sometimes little sluggish and cluttered when operator has to deal with complex pipelines.
It's bit costlier for smaller teams or startups, if they want to purchase the enterprise-level licensing model .
UI feels sometimes little sluggish and cluttered when operator has to deal with complex pipelines.
It's bit costlier for smaller teams or startups, if they want to purchase the enterprise-level licensing model .
What problems is the product solving and how is that benefiting you?
Data comes form multiple sources and clients ,and all of them are of different structures and formats.
Also some of them are real time .Also sometimes datastructures and schemas changes unexpectedly and previous ETL pipeline was failing to handel that .This scenarios were breaking the pipelines.
IBM StreamSets here comes as an one man show ,it automatically detects schemas and data structural changes and handels it accordingly .
That reduces pipeline faliures.Along with that it also supports both real time streamings and batch processing pipe lines.
As becuse it needs less maintainance and less human interventions ,it helps to make the raw to processable in less time.
Also some of them are real time .Also sometimes datastructures and schemas changes unexpectedly and previous ETL pipeline was failing to handel that .This scenarios were breaking the pipelines.
IBM StreamSets here comes as an one man show ,it automatically detects schemas and data structural changes and handels it accordingly .
That reduces pipeline faliures.Along with that it also supports both real time streamings and batch processing pipe lines.
As becuse it needs less maintainance and less human interventions ,it helps to make the raw to processable in less time.
I liked the low code and data integration that works with automatic schema handling.
What do you like best about the product?
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.
2. Low code visual UI
3. Easier deployment
4. Probably work well with IBM ecosystem. But not tried yet.
What do you dislike about the product?
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
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
What problems is the product solving and how is that benefiting you?
Easier and seamless integration
it was very eacy to use
What do you like best about the product?
streamsets helped me to process real-time data efficiently. so, the efficiency impressed me a lot.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Real-time processing.
It is good but I Would like to see some really cool ,innovative modifications or features
What do you like best about the product?
It has cool UI and interface and user friendly
What do you dislike about the product?
Wanted to see atleast more modifications and more stand out features
What problems is the product solving and how is that benefiting you?
It’s helping me solve day to day activities which needed manual attention
Workflow simplification at peak
What do you like best about the product?
Easy to setup and use compared to kafka and stuff like this helps make the workflow quicker as there's less maintenance required to run this. The uptime gaurantee's also help alot in peaceful sleep.
What do you dislike about the product?
Nothing specific i have encountered till now as everything currently works as expected
What problems is the product solving and how is that benefiting you?
It helps manage streaming pipelines easily
Powerful Data Integration With IBM Stream sets.
What do you like best about the product?
The thing that I most like about stream sets is that it makes building real time data integration and pipeline building is made very smooth. The drag and drop interface is easy to use. Also it connects to various data sources and destinations. It has cool built in monitoring and error handling mechanisms to help keep out an eye on the health of your pipeline. I also enjoy how scalable it is. I mean you can use it on a small project to something enterprise level project.
What do you dislike about the product?
it can be tricky to get started directly with streamsets especially if you are at beginner level. Like if you don't have any experience prior about data engineering. You need deeper level of understanding to use some advanced features but I think the documentation is helpful sometimes but not always. Also the pricing seems steep for small teams.
What problems is the product solving and how is that benefiting you?
Streamsets platform is designed to simplify ETL and big data integration by enabling organizations to quickly and comprehensively deploy, operate and use data-in-motion technologies, and eliminate the need for custom coding. It’s how it manages all of the complex data transformation, real time ingestion, and error handling that you’d typically need to handle manually.
It makes it so much faster and easier to build and manage ETL pipelines. And I can analyze data instead of repairing broken data flows. The automation, scalability, and monitoring capabilities can save time and be more efficient when working with Massive data sets.
It makes it so much faster and easier to build and manage ETL pipelines. And I can analyze data instead of repairing broken data flows. The automation, scalability, and monitoring capabilities can save time and be more efficient when working with Massive data sets.
Simplifying Complex Data Pipelines
What do you like best about the product?
I like how StreamSets makes building and managing data pipelines very intuitive with its drag-and-drop interface. It supports real-time streaming as well as batch processing, and the built-in monitoring/alerts give great visibility into pipeline health and data quality.
What do you dislike about the product?
Some advanced features have a steep learning curve, and the platform can feel resource-intensive at times. Documentation could be more detailed, and faster response from support would make the experience even better.
What problems is the product solving and how is that benefiting you?
IBM StreamSets helps us handle complex data integration across multiple sources and destinations in real time. It solves the challenge of building scalable, automated pipelines without heavy coding, while ensuring data quality and observability. This has reduced manual effort, improved reliability, and allowed faster decision-making based on up-to-date data.
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