IBM StreamSets Reviews & Product Details

I like that IBM StreamSets excels at simplifying data integration workflows. Its visual pipeline design makes it intuitive, allowing almost anyone to build, deploy, and test. I appreciate the wide range of connectors it supports for real-time data and batch processing. It's an all-in-one-place solution for ETL transformations and various kinds of data handling. I also find the initial setup to be moderately easy, with straightforward installation and basic configuration. The UI and pipeline creation are intuitive. Finally, I would recommend IBM StreamSets for its reliability in real-time data ingestion and streaming, strong schema drift handling, excellent monitoring, and low-code pipeline development. Review collected by and hosted on G2.com.

UI performance and usability, limited flexibility compared to pure code-based tools, connector limitations and customization, cost and licensing complexity. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I love this platform for its data integration capabilities. It reduces efforts so much and increases productivity. Its faster development is really useful for users. The availability of ready made connectors makes work really easier and faster. This platform makes the team co ordinate as well as work faster with better efficiency and effectiveness. Review collected by and hosted on G2.com.

I love most parts of this platform but i just wish that price was a little bit low. To be an expert in using this platform, a person will need training and sufficient time to learn before reaching the peak potential. Review collected by and hosted on G2.com.

StreamSets continues to offer an intuitive drag-and-drop canvas that simplifies pipeline creation. The seamless integration with key-vaults for secure secret management and the ease of scheduling pipelines remain strong features. It's beginner-friendly and gets data flowing quickly, especially for teams with limited coding background. Review collected by and hosted on G2.com.

While StreamSets was once a frontrunner in visual pipeline design, modern cloud-native tools have leapfrogged it. Platforms like Azure Data Factory, Amazon EMR notebooks, and Apache Airflow now offer more flexibility, deeper integrations, and better support for orchestration, monitoring, and cost control. Adding richer developer features, tighter CI/CD capabilities, and improved scalability options would help StreamSets stay relevant in today’s fast-evolving data engineering landscape. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 . Review collected by and hosted on G2.com.

Effective IBM platform for easy creation and monitoring of data pipelines and its integration across several Hybrid and even multi cloud environment.

The ability on data enrichment and data quality management and process easy Automation this product is excellent. Review collected by and hosted on G2.com.

Powerful IBM solution and easy to configure all its functions and on starting the implementation process is very easy with no errors found. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

With updated support and low-code implementation process, makes it pretty easy to use. As it's support both batch and streaming pipeline, it becomes an easy-go tool for data platform teams. Review collected by and hosted on G2.com.

Some learning opportunities is the key area that StreamSets should focus to on board new engineers. Also, cost is a concern. No direct support for CICD. Review collected by and hosted on G2.com.

The platform’s growing support for automation, reusability, and real-time processing makes it not just an ETL tool, but a full-fledged DataOps platform. Review collected by and hosted on G2.com.

IBM Stream Sets is a powerful platform, but it can improve in a few key areas. Handling highly complex or customized integrations can be challenging, and connector support for some newer cloud services could be expanded. The learning curve for Control Hub and CI/CD automation is a bit steep for new users, and error messages during pipeline failures could be more detailed to help with faster troubleshooting. Review collected by and hosted on G2.com.

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.