StreamSets DataOps Platform Reviews

Easy to use (for experienced users)FlexibilityEscalabilityCloud NativeMulticloud

It can be really complex to understand for someone not realated to data procesing

The flexibility to deploy on different clouds the same solution

well know AWS-based sources are missed like Sales ads & seller partner

I enjoy the well built user interface and the ability to see the data in flight in the pipeline.

It proved to be very difficult to extend a simple pipeline to accomodate a different scenarios. In addition, common stuff like CDC seemed a bit difficult to set up.

The intuitive GUI of the Streamsets DataOps Platform is really useful and user friendly. The low code - No Code Process Pipeline creation based approach is really helpful for developers to build data pipelines. The connectors are also really helpful as they provide just drag and drop approach to build the pipeline and only do some configurations in order to implement them. Then comes the monitoring tool which helps in monitoring the pipeline and the Jobs in realtime which is very informative and easily understandable. The Strigo platform is also helpful as because it helps in quick setup of the docker instance so that the data collector can be configured quickly to capture realtime data.

It's that the manual installation of docker instance and manual setups of all the needed connectors in the local desktop instance if the streamsets is used without Strigo which is a real pain. Hope Streamsets comes up with a clear and precise documentation for the same. Also connectivity between local docker instance(where data collector is set up) and applications installed outside cloud and on premise such as Kafka instance(installed on premise) is a real pain . Hope Streamsets comes up with an easy and comfortable feature to use with proper documentation.

easy to install and use , deployment pipeline is also not complex you can use docker to install and run as container . interface is user friendly but some time is required to understand the features and how it works . i have been using data collector for ingesting data with jdbc to database . streamsets also provides logs for better monitoring , it provides many stages and libraries with them to ingest data from source to destination.

logging is complex , sometimes preview doesn't work , if you copy and use same pipeline in different server the library dependency create problems .

It is really easy to use Streamsets and the graphical interface is very user friendly which makes complex designs look easy and more understandable .

Yeah .i feel that Streamsets is continuously growing and new features are being continuously added .It lacks support for certain databases and certain functionalities are still missing.

its ease of use and connectivity to almost all modern platform makes it a wonderful platform

Since its new there are a lot of things to improve. Such as the bugs. Streamsets should release new version more often.

Setting up data pipelines is easy and straight forward, if connectors are available and not much inflight processing has to be done, one get's quick results

More complex usecases or REST endpoints often need workarounds or custom code

The ability to continuously integrate data with a system for alerts to know when things break is a really attractive feature.

The streamsets platform is not the fastest at times, lags or slows down occasionally.

CI/CD with StreamSets is great. Support for multiple data platforms makes it a great choice for data integration

The logging system might be made better. If I work on a pipeline, then make a task from it, and it runs, it will continuously produce logs. Therefore, the logging system might be made simpler. The logs are now a little more challenging to comprehend and filter. It takes a while.

Great GUI and monitoring of the data streaming pipeline

- Improve the CDC stage to allow fresh load for a particular table
- Improve error handling messages

The best part of this platform is the drag and drop GUI, it allows someone who has never built a pipeline before to understand ETL faster.

I do not have many cons about this software. I think it allows users to work faster and be more efficient with their time and resources compared to other platforms.