Informatica Intelligent Data Management Cloud vs. SAP Data Intelligence

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Intelligent Data Management Cloud
Score 7.0 out of 10
N/A
The Informatica® Intelligent Data Management Cloud™ (IDMC) is designed to help businesses efficiently handle the complex challenges of dispersed and fragmented data to innovate with their data on virtually any platform, any cloud, multi-cloud and multi-hybrid.N/A
SAP Data Intelligence
Score 8.7 out of 10
N/A
SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
Pricing
Informatica Intelligent Data Management CloudSAP Data Intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Intelligent Data Management CloudSAP Data Intelligence
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Informatica Intelligent Data Management CloudSAP Data Intelligence
Considered Both Products
Informatica Intelligent Data Management Cloud

No answer on this topic

SAP Data Intelligence
Chose SAP Data Intelligence
SAP Data Intelligence was one of the first corporate complete data science solutions to hit the market. We picked this because of our excellent relationship with SAP and our current SAP product environment.
Chose SAP Data Intelligence
SAP Data Intelligence is the most powerful and advanced technological tool for data intelligence. It has many smart techniques to develop algorithms to support and run data models. We are using this tool to design and run the data models to make crucial decisions in our …
Best Alternatives
Informatica Intelligent Data Management CloudSAP Data Intelligence
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Oracle GoldenGate
Oracle GoldenGate
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica Intelligent Data Management CloudSAP Data Intelligence
Likelihood to Recommend
8.3
(13 ratings)
8.0
(55 ratings)
Likelihood to Renew
9.0
(1 ratings)
8.2
(2 ratings)
Usability
-
(0 ratings)
8.2
(50 ratings)
Support Rating
8.0
(3 ratings)
6.9
(47 ratings)
Configurability
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Informatica Intelligent Data Management CloudSAP Data Intelligence
Likelihood to Recommend
Informatica
Informatica Cloud is a great tool for use when data must be formatted consistently. Once configured, it is very robust and reliable. It is also well-suited for an organization without a robust IT staff to maintain a full server infrastructure. It offers a cost-effective approach to high-quality data integration for even the largest organizations. Organizations without staff experienced in data analytics may find it challenging to take advantage of the more complex results of this tool.
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SAP
If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
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Pros
Informatica
  • Once the secure connection is established it’s quite easy to operate and create new jobs. The controls are simple, and we appreciate the fact there are not a lot of complex fine-tunings required. Navigation is also easy, and we enjoy the ability to open multiple tabs in the browser to work on multiple projects.
  • The monitoring functionality works well to help track the progress of the jobs, again, without too much complication. In a fast dev environment, speed is essential and we quickly seeing the status/progress of jobs as well as any errors if the jobs fail helps us maintain speed.
  • The web interface is a lot easier to interact with than the client/on-prem version. Putting much of the heavy lifting of interacting with the tool onto the shoulders of the browser makes it easier to keep multiple sessions open and get in/out quickly without having to VPN into the office.
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SAP
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
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Cons
Informatica
  • The User Interface can be a bit difficult to get in initial stages.
  • Error messages are hard to understand which sometimes takes a lot of time for the resolution
  • Cannot Implement complex SQL queries which should be fixed in future release.
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SAP
  • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
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Likelihood to Renew
Informatica
No answers on this topic
SAP
Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
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Usability
Informatica
No answers on this topic
SAP
I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.
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Support Rating
Informatica
I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.
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SAP
Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
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Alternatives Considered
Informatica
First, the wizard is easy to use making the learning curve for simple ETL tasks nice. Second, since Informatica is mature there are a good variety of connectors available. Finally, we have driven some fairly complex ETL solutions using only the cloud.
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SAP
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
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Return on Investment
Informatica
  • Cut costs on the number of staff we need for data import.
  • Cut costs for automation that can be done for data that no longer has to be manually imported.
  • We've saved countless dollars by eliminating duplicates in our system with this tool.
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SAP
  • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
  • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
  • It runs multiple ML models which enhances flexibility when managing data.
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ScreenShots

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard