IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
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IBM DataStage
Score 7.6 out of 10
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IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.
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Pricing
IBM Cloud Pak for Data
IBM DataStage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for Data
IBM DataStage
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
IBM Cloud Pak for Data
IBM DataStage
Features
IBM Cloud Pak for Data
IBM DataStage
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM DataStage
9.5
Ratings
12% above category average
Connect to traditional data sources
00 Ratings
10.00 Ratings
Connecto to Big Data and NoSQL
00 Ratings
9.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM DataStage
8.0
Ratings
2% below category average
Simple transformations
00 Ratings
8.00 Ratings
Complex transformations
00 Ratings
8.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
IBM DataStage
6.3
Ratings
23% below category average
Data model creation
00 Ratings
5.00 Ratings
Metadata management
00 Ratings
5.00 Ratings
Business rules and workflow
00 Ratings
6.00 Ratings
Collaboration
00 Ratings
6.00 Ratings
Testing and debugging
00 Ratings
6.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
Because it is a flexible tool that can manage many flows and create a strong solution with a interesting use of variables. Easy to scale up as you can copy jobs arleady build and modify them. SQL queries allow to be fast in development and have the pushdown feature, but you loose a little of user friendly look. Metadata management is not strong as a visual feature, but can be determine by job codes.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design
No, it wasn’t my decision to use such an ETL product. I’m just the administrator at this point. I’ve heard there are other products there that are even on cloud support. That is much easier to use, more agile, and user-friendly. That doesn’t have that barrier from user to administrator to the developer standpoint.
can improve readiness for cloud migration, improve licensing flexibility with IBM, and reduce both hardware purchases and infrastructure management efforts.
reduces the expenses of internal resources.
should improve efficiencies, reduce risks, and increase performance
Not directly related to ROI or cost figures. Only comment here is that IBM tools tend to be more costly than average ETL tools, but it depends on if the company is an IBM shop.
One positive aspect is the company has had not a need to switch ETL tool for years.
Upgrading to newer versions of the tool brings flexibility in the tool and up-to-date features in relation to other applications.