Most Helpful Review
Researched Azure Data Factory but chose IBM Cloud Pak for Data: Good reporting, but resource utilization is high and technical support can be improved
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
It is easy to deploy workflows and schedule jobs.
From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.
It is a complete ETL Solution.
Powerful but easy-to-use and intuitive.
The most valuable features are data transformations.
Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.
From what we have seen so far, the solution seems very stable.
The user interface is very good. It makes me feel very comfortable when I am using the tool.
The most valuable features are data virtualization and reporting.
The setup and configuration process could be simplified.
The user interface could use improvement. It's not a major issue but it's something that can be improved.
The Microsoft documentation is too complicated.
The product could provide more ways to import and export data.
The speed and performance need to be improved.
On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.
The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.
The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.
The technical support could be a little better.
Pricing and Cost Advice
This is a cost-effective solution.
Our licensing fees are approximately 15,000 ($150 USD) per month.
In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal.
I think that this product is too expensive for smaller companies.
out of 91 in Data Integration Tools
Average Words per Review
In Data Integration Tools
Compared 13% of the time.
Compared 12% of the time.
Compared 8% of the time.
Also Known As
|Cloud Pak for Data|
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
Learn more about Azure Data Factory
Learn more about IBM Cloud Pak for Data
|Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid|
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Software R&D Company54%
Comms Service Provider8%
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