Service that has been provided by IBM are very reliable Review collected by and hosted on G2.com.
The ui quality is not satisfactory thing in the whole process Review collected by and hosted on G2.com.
I like IBM StreamSets for its easy-to-use visual interface, real-time data handling, and strong integration with various cloud and on-premise systems. Review collected by and hosted on G2.com.
While IBM StreamSets is powerful, it can sometimes be complex to troubleshoot issues in large pipelines, and performance tuning may require additional effort for very high-volume data loads. Review collected by and hosted on G2.com.
Easy to setup and use compared to kafka and stuff like this helps make the workflow quicker as there's less maintenance required to run this. The uptime gaurantee's also help alot in peaceful sleep. Review collected by and hosted on G2.com.
Nothing specific i have encountered till now as everything currently works as expected Review collected by and hosted on G2.com.
Use of openshift data foundation.
StreamSets can now be installed and uninstalled using the standard IBM Software Hub service methods, streamlining deployment and management compared to previous separate processes. Review collected by and hosted on G2.com.
Improve learning curve , improvement in UI. Review collected by and hosted on G2.com.
Thank you for sharing your positive feedback on StreamSets! We're delighted to hear that you find our platform quite satisfactory, especially in its seamless connectivity with Hadoop, Teradata, and its facilitation of cloud migration journeys. It's great to know that data migration, job scheduling, and live data streaming are standout features for you.
We are happy to hear you find our platform to be user-friendly and easy to implement across various teams for on-premises data migration to cloud platforms like Azure, Databricks, and Snowflake. Our goal is to make sure you're successful in your migration projects. Regarding the debugging challenges, our team is actively working on enhancing error-handling mechanisms to provide a smoother experience.
Thank you for being a StreamSets customer! If you have any further insights or suggestions, we're eager to hear them to continually improve our platform.
I like how it makes easy in the use-cases of AI, where you can do the continuous training process. Review collected by and hosted on G2.com.
I don't fee that there are any such. Have to use in-order to know. Review collected by and hosted on G2.com.
I like IBM StreamSets ease of use and Customer Support Team. Review collected by and hosted on G2.com.
Almost everything is good. Number of interactive features can be improved. Review collected by and hosted on G2.com.
I like the ease of use of this tool. Customer support is ok. Review collected by and hosted on G2.com.
Number of features can be improved upon. Review collected by and hosted on G2.com.
Listed are the things which I liked most about Streamset -
a. Presence of inbuilt connectors (in-preise version) which can useful in using it for almost every source/target systems.
b. The is GUI is user friendly and it has certainly helped my platform team to create the streaming data pipeline faster )Previously we were using pyspark)
c. Alongwith tool, the Streamset support team is also excellent.
d. The availability of streamsets academy through which we an get our resources trained easily. Review collected by and hosted on G2.com.
There are lesser number of connectors available in the cloud version of Streamsets.
The inability to supports "exactly once" delivery of data creates limitation in few of the use cases.Although we have managed this through workaround but having ths ability in Streamsets will certainly help. Review collected by and hosted on G2.com.
UI of the tool is very easy to understand even for a beginner. It has the graphical pipeline feature to convert source data and add some processing steps on top it and then send it to target system. It seems simple to implement from a docker image in your environment. Opening the tool in your chrome or any web browser is less heavy in terms of RAM usage and logging in and log out times are quick. Review collected by and hosted on G2.com.
It still seems a bit under matured in terms of support for more 3rd party vendors like SAP, Salesforce, etc. Review collected by and hosted on G2.com.
I love the StreamSets UI and its interface. The components in StreamSets are very useful and very easy to use. You can esily implement a pipeline using the desired origin from the lits of various origins. You can use it on daily basis for your pipeline review. The customer support from the StreamSets side is very appreciated. Review collected by and hosted on G2.com.
There is nothing to say bad about it. Just sometimes the preview field lacks in previeing the high intensity data. Review collected by and hosted on G2.com.