Convenient access to Hadoop FS, access to web API and parsing a JSON response. You can easily combine a lot of different technologies in one flow (Hadoop, python, Java, web API).

I have started to use it while learning Big Data for learning purposes but now we use it in our company on an everyday basis. Review collected by and hosted on G2.com.

Everything beyond expectations. Only one limitation - how to convince people to use it more and it is not easy to find enough professionals on the market. Review collected by and hosted on G2.com.

The tool had a lot of options to integrate with different protocols, language and origin. We used this tool to integrate it with Kafka/Aws, send emails and develop different types of data feed. The user interface was quite nice and easy to use. Be it a simple task or a complex task, we were always able to find a processor or executor to achieve our goal. Review collected by and hosted on G2.com.

Since the tool was new, there was a limited support on the internet. Ask streamsets page is helpful but I expected a developed ecosystem. Sometimes we faced issue with using known libraries like moment.js. It's a pain to maintain these libraries in your server. We had to use different language to implement certain module because Javascript library for that task was not supported. So our pipelines looked like a bunch of lot of processors each having a different language/framework. Review collected by and hosted on G2.com.

Very easy to use and understand at very first time itself Review collected by and hosted on G2.com.

Nothing much but very few minimal things like code suggestions when using scripting languages like groovy,jython and javascript Review collected by and hosted on G2.com.

The sheer number of connections (origins, destinations, processors, etc) and additional things like webhook/notifications are among the best features offered by streamsets data collector. Review collected by and hosted on G2.com.

Too many frequent errors in some cases (like S3 destination) which are not internally retried seamlessly and ends up failing the pipeline. Due to this, a lot of manual intervention is required on a day to day basis Review collected by and hosted on G2.com.

This tool can connect from the ftp or mft server to our MSSQ Review collected by and hosted on G2.com.

The jobs designed to our project are usually failing which led our team a lot of monitoring works and manual processing of data. Review collected by and hosted on G2.com.

Developer friendly user interface and resonable speed of data transfer across various databases Review collected by and hosted on G2.com.

Debugging is a pain in streamsets because of the exhaustive java logs Review collected by and hosted on G2.com.

Easy setup , flexible product . Can work with variety of databases. Review collected by and hosted on G2.com.

Connection issues , at times data is captured during failure Review collected by and hosted on G2.com.

Debugging,ease of use.Streamsts was a useful tool for ETL processes.The difference from other tools it has is that it has lot of transformations. Review collected by and hosted on G2.com.

Lots of transformations,real time processing. Review collected by and hosted on G2.com.

Integrating different components and create pipelines and Preview the pipeline to see whether the pipeline works or not. Review collected by and hosted on G2.com.

No Specific dislike as off now, Everything was best Review collected by and hosted on G2.com.

Its friendly environment and user interface Review collected by and hosted on G2.com.

StreamSets should add more features and should reduce some latency . Review collected by and hosted on G2.com.