Informatica MDM & 360 Applications vs. SAP Data Intelligence vs. Talend Data Fabric

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica MDM & 360 Applications
Score 5.4 out of 10
N/A
Informatica MDM is an enterprise master data management solution that competes directly with IBM's InfoSphere and Oracle's Siebel UCM product.Informatica MDM and the company's 360 applications present a multidomain solution with flexibility to support any master data domain and relationship—whether on-premises, in the cloud, or both.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
Talend Data Fabric
Score 10.0 out of 10
N/A
The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.N/A
Pricing
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Free Trial
NoYesNo
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoYesNo
Entry-level Setup FeeNo setup feeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Best Alternatives
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Small Businesses

No answers on this topic

No answers on this topic

No answers on this topic

Medium-sized Companies
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 8.1 out of 10

No answers on this topic

No answers on this topic

Enterprises
Winshuttle
Winshuttle
Score 9.1 out of 10
Oracle GoldenGate
Oracle GoldenGate
Score 8.7 out of 10
Oracle GoldenGate
Oracle GoldenGate
Score 8.7 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Likelihood to Recommend
9.0
(20 ratings)
8.0
(55 ratings)
9.6
(7 ratings)
Likelihood to Renew
9.0
(1 ratings)
8.2
(2 ratings)
8.0
(1 ratings)
Usability
9.0
(1 ratings)
8.2
(50 ratings)
7.0
(1 ratings)
Support Rating
9.0
(2 ratings)
6.9
(47 ratings)
10.0
(1 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
-
(0 ratings)
Configurability
-
(0 ratings)
8.2
(1 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
-
(0 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
-
(0 ratings)
User Testimonials
Informatica MDM & 360 ApplicationsSAP Data IntelligenceTalend Data Fabric
Likelihood to Recommend
Informatica
It is a robust software with great management and data model. It can be difficult to learn how to use and deploy the first time but the mapping and features work very well and have optimized our productivity and cost savings. We can customize reports, create rules and integrate with other applications. Overall I recommend it.
Read full review
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.
Read full review
Qlik
Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
Read full review
Pros
Informatica
  • This program raises us to a professional level where we have better versatility to control all the media of my work and have a correct response for each scenario.
  • It is essential to be right about the destination and development of my data, Informatica MDM is here to simplify all these processes for its users.
Read full review
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.
Read full review
Qlik
  • It supports a wide variety of connectors (Systems/endpoints)
  • It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
Read full review
Cons
Informatica
  • It is unfortunate how this program has a couple of limitations in terms of insertions; it does not have the ability to agglomerate and archive the data in real-time by groups.
  • To have automation functions, the program is very limited in performing one task at a time, compared to other systems that perform functions simultaneously.
Read full review
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.
Read full review
Qlik
  • The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
  • The learning curve is very steep for all Talend products including DQ.
  • Lack of easy to create workflows for jobs that can be repeated.
Read full review
Likelihood to Renew
Informatica
Supporting well in managing our huge customer base and managing the customer hierarchies well aligned with transactional processes
Read full review
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
Read full review
Qlik
Lack of report export and publication! Steep learning curve!
Read full review
Usability
Informatica
Strong Customer MDM capabilities for de-duplication, merging, golden record, exposing customer master data. Strong Integration capabilities
Read full review
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.
Read full review
Qlik
At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
Read full review
Support Rating
Informatica
I'm not sure since I never used support. My colleagues never had any issues with it, therefore my rating would be an 8 with a certain range of uncertainty.
Read full review
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,
Read full review
Qlik
Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
Read full review
Implementation Rating
Informatica
The integrator did a fair job and even though Business Change Management was complex, it was well concluded on time
Read full review
SAP
No answers on this topic
Qlik
No answers on this topic
Alternatives Considered
Informatica
Informatica MDM has proven it's worth in the organization by driving the revenue growth. It saves our lot of time by filtering out duplicate values and helps in solving critical business problems. It is very helpful when we deal with a lot of data. Apart from this we can populate data on various third party integration which is most useful case
Read full review
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.
Read full review
Qlik
The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
Read full review
Return on Investment
Informatica
  • I cannot speak to this for 2 reasons. 1. I am not privy to the financials associated with this implementation or the previous one. 2. We have not hit our 'go-live' for this implementation yet to compare it's performance to our previous solution.
Read full review
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.
Read full review
Qlik
  • Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours.
  • Small company, so cost could be a problem for these services, but works so far.
Read full review
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