IBM StreamSets
IBM SoftwareExternal reviews
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Advanced Cloud Data Pipeline
What do you like best about the product?
StreamSets provides management control and operational visibility in data overall project pipeline. StreamSets is fast , easy to use and allowing us to create integration real-time data pipelines. It is also suppting Hybrid-cloud.
What do you dislike about the product?
New version update needed for increase performance.Connectors are too frequently removed.
What problems is the product solving and how is that benefiting you?
Processing data and management control of all data.
Seamless data integration tool
What do you like best about the product?
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.
What do you dislike about the product?
So far i found that the pipelines fails when i am running a large dataset which makes it very difficult to debug.
What problems is the product solving and how is that benefiting you?
Scheduling job, migrating data on cloud like snowflake made it very easy for us to carry the operation in our organization.
Data pipe-lining and streaming
What do you like best about the product?
Data processing and transformation, Hybrid and multi-cloud support
What do you dislike about the product?
Connectivity of diverse data sources like databases , cloud storage, and files.
What problems is the product solving and how is that benefiting you?
Technology Partners for product integrations is seamless.
Review for StreamSets
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
StreamSets solves the problem related to Real-time Data Processing as Traditional batch processing may not meet the requirements of applications that demand real-time data processing, StreamSets supports real-time data processing, enabling organizations to analyze and act upon data as it is generated. This is crucial for use cases requiring low-latency insights and decision-making. Along with this StreamSets also resolve problem related to Scalability as data volumes grow, scalability becomes a concern for traditional data integration solutions, StreamSets is designed to scale horizontally, accommodating large volumes of data and adapting to changing processing needs. This scalability ensures that the platform can handle increased data loads as organizations grow.
StreamSets ETL Tool for data integration
What do you like best about the product?
we can easily integare to kafka for read and write
end to end ETL pipeline development best use
provides all cloud integration
end to end ETL pipeline development best use
provides all cloud integration
What do you dislike about the product?
it wont store the data, but kafka stores the data .
limited built in connectors, need to develop aditional integration
needs to improve in marketing as there are so many compitators for ETL tools in market
need better support for customers
limited built in connectors, need to develop aditional integration
needs to improve in marketing as there are so many compitators for ETL tools in market
need better support for customers
What problems is the product solving and how is that benefiting you?
when we integrate to kafka, it manages the dataflow involved by kafka.
and also it supports for different file systems, like json,avro and parquet
and also it supports for different file systems, like json,avro and parquet
Review for Stream Set
What do you like best about the product?
Its good data collector which we can use to create dependency between jobs.
Scheduling of job is very easy . Handle live streaming data efficiently.
Scheduling of job is very easy . Handle live streaming data efficiently.
What do you dislike about the product?
This is for small datasets when we are running large datasets sometime it will fail and give error .
Less user friendly
Less user friendly
What problems is the product solving and how is that benefiting you?
We are using this to improve the supplier and partner relationship.
StreamSets Review
What do you like best about the product?
Its a powerful tool for creating data engineering solutions and best thing is it can be integrated across different cloud environments.
What do you dislike about the product?
So far after the usage I didn't anything particular to dislike. Although it can be a little overwhelming for new users at first.
What problems is the product solving and how is that benefiting you?
It has made it easy to build pipelines and has very effective event based data capture to support some of our real time applications. The easy integration data lake and warehouse makes analytics convenient.
StreamSets: Navigating the Data Integration Current with Ease
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
StreamSets solves data integration challenges, simplifying the movement and management of diverse data sources. This results in increased efficiency for me, making data tasks more streamlined and less time-consuming. The platform's continuous updates and support enhance the overall reliability of data integration processes.
A Powerful Platform for ETL and Streaming Analytics
What do you like best about the product?
The platform’s growing support for automation, reusability, and real-time processing makes it not just an ETL tool, but a full-fledged DataOps platform.
What do you dislike about the product?
IBM Stream Sets is a powerful platform, but it can improve in a few key areas. Handling highly complex or customized integrations can be challenging, and connector support for some newer cloud services could be expanded. The learning curve for Control Hub and CI/CD automation is a bit steep for new users, and error messages during pipeline failures could be more detailed to help with faster troubleshooting.
What problems is the product solving and how is that benefiting you?
Streamsets addressed the challanges associated with managing and integrating diverse data sources in real time. It helps me easy data integration, accurate real time processing and in maintaing data quality through ETL process.
Capable streaming data processing tool
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
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.
What problems is the product solving and how is that benefiting you?
1.It has allowed us to perform CDC on the mainframe data and put the data to KAFKA topics which can be used by multiple platforms as per their requirement.
2. It has helped to create event based real time pipeline swhich is being used to generate marketing prompts to the customers.
3.The development time (as compared to pyspark) has been reduced as it is low code GUI tool
4. It has also helped in reducing our dependency on other ELT tools e.g. Informatica DEI.
2. It has helped to create event based real time pipeline swhich is being used to generate marketing prompts to the customers.
3.The development time (as compared to pyspark) has been reduced as it is low code GUI tool
4. It has also helped in reducing our dependency on other ELT tools e.g. Informatica DEI.
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