IBM StreamSets Reviews & Product Details

the ability to create a pipeline with with visual representation of the executions. Review collected by and hosted on G2.com.

this training provided is very basic and could be more specific. Review collected by and hosted on G2.com.

I did not find any difficulties to integrate streamSet Control Hub with Kubernetes by help of StreamSet Controller Agent. Review collected by and hosted on G2.com.

Some time updated docker image of StreamSet agent comes with vulnerabilities which the should take are before release. Review collected by and hosted on G2.com.

Right from the ingestion, filtering, debugging by looking into preview or snapshots

Decent data processing speed, lightweight data collector to configure pipeline, processing the data, preview the data, monitor the pipelines.

Friendly user interface for deleting or adding the connection, stop, start the pipeline Review collected by and hosted on G2.com.

Rate of consumption of real-time data can be improved to avoid the lag/data loss

Editing the single component should be more independent Review collected by and hosted on G2.com.

It was very useful when we have used it for loading our tables into hive databases and easy to configure as most of it was drag and drop and minimal customisation required when using streamsets I found it much easier compared to NIFI Review collected by and hosted on G2.com.

It been a while that I had actually worked with streamiest but when I used to work on the platform we used to face some issues while mapping the components in the data flow we used to face some performance issues for huge datasets Review collected by and hosted on G2.com.

GUI is the best and much simpler. It is self explanatory for any range of experience guy to understand. You need not write complex programming for any kind of implementation. It is as simple as dragging and configuring something you want to implement. Literally you can connect to any kind of system as a source and any kind of system as a destination. Scheduling was much more easier when it comes to streamsets, unlike other systems and tools we had, a wide variety of scheduling options here. Wish there was an option to increase the rate of ingestion. Having streamsets transfomers is an additional advantage while we are developing the applications. It is very easy to save and export the jobs or the pipelines. Not just this, it also very easy to share the pipelines/jobs. Last but not the least, we have topologies where you can view the status of all the pipelines which you have developed and monitor. This can used like a collective system where all the status of the project's jobs can be viewed. Review collected by and hosted on G2.com.

Debugging an issue will take a lot of time. Logs were not that clear while we were debugging. You can only select one single source for a pipeline. There are few applications where you need to apply the same logic for multiple sources. For this use case you need to create multiple pipelines and add coordination between them. Review collected by and hosted on G2.com.

The possibility of getting data from almost any place, transforming it, and sending it at any other place. Also the API is very useful as you can launch jobs from airflow, for example. Ease of use, parameters that help you configuring things like Mongo, Kafka, etc. The many transformational steps that you can add to a pipeline. The parameters that can be sent through the API with airflow so you can customize lots of things and have lots of automation. User friendly, fast, reliable, capability of handling errors with GCS or Kafka, for example. Review collected by and hosted on G2.com.

The open source version doesn't have all of the features that the enterprise version offers (control hub). It's not actually something I dislike but you gotta know how to manage a Linux server to get the best out of it with the lowest possible cost. It's not hard though. Review collected by and hosted on G2.com.

Ease of usage including easy to install and configure. Nice GUI interface which is web based for development and admin work. Connectors availability for different systems. Review collected by and hosted on G2.com.

Missing auto performance and scalability option. No drifting support. Incase of any issues related to performance and scalability, it is next to impossible to understand what caused the issues and what will be the fix. Also, not useful for ETL operations which makes us to depend upon other tools in E2E integration needs. Review collected by and hosted on G2.com.

Intuitive, very useful plugins, easy to deploy/maintain. It's really awesome how can you build pipelines for microservices, streaming and batch purposes in a single environment. Very straightforward to be installed and ready to use, even for production (at least for the essential parts, then obviously should be reviewed with a security team) Review collected by and hosted on G2.com.

The bugs you may find are solved with workarounds, you have to wait a bit for a stable solution. Some missing plugins (but they will be added soon, if not already). Many updates during the year, if you don't have a proper set up to move from test/pre-production to production, you may have some issue to face every time Review collected by and hosted on G2.com.

I found it very flexible and GUI-based configuration makes it very user-friendly. Review collected by and hosted on G2.com.

So good so far, didn't find anything wrong about streamsets as of now. Review collected by and hosted on G2.com.

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.