There are various upsides of using StreamSets as Many users appreciate StreamSets for its user-friendly interface and intuitive design. The platform aims to simplify the process of designing and managing data pipelines. StreamSets is very useful in terms of Data Drift Handling, Scalability, Extensibility, Monitoring and Management, Community Support, Real-time Data Processing, Customer Support and in many more. Review collected by and hosted on G2.com.

THere are not such any significant downside of using StreamSets but there are a few features in which StreamSets is laking behind are as Documentation Quality, Limited Transformations, Community and Ecosystem Maturity, Resource Intensive. Review collected by and hosted on G2.com.

Best UI/UX in terms of modern day ETL tools, it enhanced the working machenism thinking and good product support. Review collected by and hosted on G2.com.

Transformer still misses some basic functionality, and doesn't work well in Google cloud. Review collected by and hosted on G2.com.

the best part of the StreamSets is person can create any type of integrations pipeline without changing the patterns that helps in reusability of the code and pipeline.

using CDC any change in DB is refelceted to the end user and shows the real data without loosing it. Review collected by and hosted on G2.com.

it make things supereasy so nothing as i observed till now to dislike :) Review collected by and hosted on G2.com.

Best things i liked of streamsets is pipeline creation using mulyiple options of data sources and destination storage options & also very easy of processsing & transformation of data. Review collected by and hosted on G2.com.

Need more options in streamsets for data transformation & availability/integration of streamsets products in other products like GCP. Review collected by and hosted on G2.com.

The best feature of StreamSets is its intuitive visual interface, allowing us to effortlessly design, monitor, and manage data pipelines without the need for complex coding. This has significantly reduced our development time and made the process highly accessible to both technical and non-technical team members. Review collected by and hosted on G2.com.

Though StreamSets is an outstanding tool, one aspect that could be improved is the initial learning curve for new users. While the interface is user-friendly, understanding all the features and configurations may take some time for those unfamiliar with data integration platforms. However, the support documentation and community forum help to mitigate this issue to a large extent. Review collected by and hosted on G2.com.

StreamSets has been a game-changer for me. The initial learning curve was worth it, as the platform's user-friendly interface makes data integration a breeze. Implementing it was surprisingly easy, and the responsive customer support has been a lifesaver. I find myself using it frequently in my workflow, thanks to its diverse feature set that handles various integration needs. The platform seamlessly integrates into existing systems, making it an essential tool for efficient data management in my day-to-day tasks. Review collected by and hosted on G2.com.

I find StreamSets intuitive and powerful for data integration. The learning curve was a bit steep initially, but once mastered, it streamlined my workflows effectively. Occasionally, performance hiccups arose, but ongoing updates seem promising in addressing these issues. Review collected by and hosted on G2.com.

As a data engineer, running an ETL job in this platform in apache spark was carried out very smoothly and collecting data is always not a hassle job here. Review collected by and hosted on G2.com.

So far i found that the pipelines fails when i am running a large dataset which makes it very difficult to debug. Review collected by and hosted on G2.com.

Seamless integration with data sources. Also work flow is easy to handle and manage Review collected by and hosted on G2.com.

Over all UI can be more intutive for a beginer Review collected by and hosted on G2.com.

StreamSets Data Collector Engine is an easy-to-use data pipeline engine for streaming, CDC, and batch ingestion from any source to any destination. You don't need to know any code to use this user-friendly interface. It is reasonably priced and capable of resolving any integration issues without interference, particularly with data integration. Review collected by and hosted on G2.com.

Dealing with extremely intricate and unique data integration circumstances occasionally presented challenges for me. There also needs to be more learning materials and assistance because the idea is somewhat unique. Review collected by and hosted on G2.com.

This is used by our organization for below uses

>> it builds batches and streaming pipelines in Hours.

>> It protects sensitive data.

>> Ease of Use Review collected by and hosted on G2.com.

Below are the failures which I faced in our organziation

>> less numbers of connectors are available in cloud version.

>> Debugging becomes difficult when we worked on a large dataset and sometimes fails without generating any error. Review collected by and hosted on G2.com.