IBM StreamSets
IBM SoftwareExternal reviews
115 reviews
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Satisfactory
What do you like best about the product?
Seamless integration with data sources. Also work flow is easy to handle and manage
What do you dislike about the product?
Over all UI can be more intutive for a beginer
What problems is the product solving and how is that benefiting you?
I wanted a tool to connect to multiple data base as different customer have different requirments and StreamSets work seamlessly with many dataset at one unified location
Stream set Review
What do you like best about the product?
Streamset is very easy to integrate with aws
What do you dislike about the product?
Information in documentation is not always correct.
What problems is the product solving and how is that benefiting you?
Etl functionality
Simple to use pipeline based integration tool
What do you like best about the product?
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.
What do you dislike about the product?
It still seems a bit under matured in terms of support for more 3rd party vendors like SAP, Salesforce, etc.
What problems is the product solving and how is that benefiting you?
Currently, most of the clients different sets of systems like Azure, SAP, Salesforce etc. for different streams in their organisations. For example, an organisation may have SAP for their ERP application but for payments and billing they may be having 3rd party system which communicates via SFTP or APIs, in such cases when data is needed to flow from these 3rd party systems to organisation's own systems, Streamsets like middleware tools are needed. It benefits a lot when Streamsets helps in connecting different systems efficiently.
Streamsets revolution in data integration
What do you like best about the product?
StreamSets makes designing and managing data pipelines easy-peasy. Its versatility and vast array of connectors simplify the process of handling different data sources. It's like having a smooth operator for your data flow.
What do you dislike about the product?
While StreamSets offers many benefits, some users find its learning curve a bit steep initially. Additionally, the complexity of certain configurations might be overwhelming for beginners.
What problems is the product solving and how is that benefiting you?
StreamSets simplifies data integration and real-time processing, boosting operational efficiency and enabling faster insights from data.
Very smooth experience
What do you like best about the product?
All in one place solution for ETL transformations of various kinds
What do you dislike about the product?
Ui can be made more sophisticated, detailing can be added
What problems is the product solving and how is that benefiting you?
We tried it out for one of our spark related batch job, it performed really well. User friendly and sharing options
Best ETL tool to manage data
What do you like best about the product?
I really like how IBM StreamSets now works with watsonx—it makes building and managing data pipelines feel a lot smoother. The smart automation, clear data tracking, and built-in quality checks save time and reduce guesswork.
What do you dislike about the product?
One thing IBM StreamSets could improve is making the interface a bit more beginner-friendly. Also, faster and clearer error messages during pipeline issues would really help save time and reduce frustration.
What problems is the product solving and how is that benefiting you?
It is helping me in extraction transformation and loading of large data sets
And it saves a lot of time as most of process is automated.
And it saves a lot of time as most of process is automated.
Data integration platform
What do you like best about the product?
Projects for workspace management, Full autoscaling on Kubernetes, Easier installation and uninstallation, New Data Collector features, Python SDK improvements and User-friendly drag-and-drop interface
What do you dislike about the product?
Better support for Data Collector Edge and Docker image transition also in terms of Project feature access and Documentation clarity
What problems is the product solving and how is that benefiting you?
It gives us a operational visibility and control over all pipelines across hybrid and multi cloud developments by ensuring smooth operation
Good to Use
What do you like best about the product?
It is easy and faster to use. Installation doesnt take much time.
What do you dislike about the product?
Sometimes the preview doesnt work fine. It gets stuck .
What problems is the product solving and how is that benefiting you?
It helps us get the data easily without any lag. It helps in extracting the data.
New Game Changer
What do you like best about the product?
Its interface and easy essentials components
What do you dislike about the product?
Why it didn't come early in market place for use
What problems is the product solving and how is that benefiting you?
The easy load of huge data with optimazaation and efficiency
Utilized the technology to design and deploy efficient data pipelines for ingestion of the data.
What do you like best about the product?
The tool has userfriendly interface, which has simplified the process of designing data pipelines. The number of connectors has made it easy for me to integrate various data sources. Also an additional thing is that it can handle both stream and batch data. In the organisation, the client has migrated to StreamSets and it is used almost 80% of the time. The team is quite accessible in case of any defects raised and is very co-orperative.
What do you dislike about the product?
Down sides of using SteamSets might be the cost, for some scenarios the solution might be costlier than the competition, For Large scale data there have been reports of performance issues.
What problems is the product solving and how is that benefiting you?
For example, the client gets continous stream data from the source, media and other platforms, The extraction part of the streaming data in near real time has very much helped the client to make use of the data refreshes being more frequent and getting quicker insights with high efficiency.
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