Huawei Cloud Data Lake Governance Center vs. Informatica Cloud Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Huawei Cloud Data Lake Governance Center
Score 0.0 out of 10
N/A
Users can develop and govern data with Data Lake Governance Center (DGC), a one-stop data lake operations platform from Huawei Cloud. Cloud-based big data storage and compute engines make it easier for users to rapidly grow enterprise's big data operations. DGC helps users build industry knowledge libraries with intelligence.N/A
Informatica Cloud Data Governance
Score 7.0 out of 10
N/A
Informatica Cloud Data Governance helps to ensure data is consistent, accurate and reliable with unified cataloging, governance and quality. It automates manual tasks with AI/ML, freeing data stewards to focus on mission-critical processes.N/A
Pricing
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Top Pros
Top Cons

No answers on this topic

Best Alternatives
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Small Businesses
Egnyte
Egnyte
Score 7.7 out of 10
Egnyte
Egnyte
Score 7.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Likelihood to Recommend
-
(0 ratings)
6.5
(2 ratings)
User Testimonials
Huawei Cloud Data Lake Governance CenterInformatica Cloud Data Governance
Likelihood to Recommend
Huawei Technologies
No answers on this topic
Informatica
The Informatics vision is already determined and with the relationships already configured, or that plasters any new type of vision or relationship between the Assets. As a result, a pedigree diagram is poor and limited with the availability of information on the screen or in reports for consultation and decision making. It has an approval and maintenance workflow that is also limited to assets already made available only by Informática. It will not be possible to see the connection of a technical, functional, and documentary line in a single flow. It allows the registration of all data referring to a DPIA and LIA, but it does not generate a report that allows the aggregation of this set of information in a single place. The tool makes information available to support a decision regarding the DPIA and LIA, but it does not make it available in a unified way as in a report.
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Pros
Huawei Technologies
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Informatica
  • Data Catalog
  • Integration with Different Databases.
  • Relationship between data and trading rules and trading terms.
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Cons
Huawei Technologies
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Informatica
  • High Complexity, requires training.
  • As it does not allow customization in relationships such as information separately in visual form and even in other tools of the Informatics group such as EDC.
  • Navigation is complex.
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Alternatives Considered
Huawei Technologies
No answers on this topic
Informatica
Overall experience with Axon is average and it is a very manual product. Axon is a very good tool for data governance. User-friendly interface and is integrated with multiple systems.
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Return on Investment
Huawei Technologies
No answers on this topic
Informatica
  • Negative impact: high training demand
  • Negative impact: high cost of infrastructure
  • Negative impact: does not meet privacy management
  • Positive impact: very good support
  • Positive impact: rapid implementation
  • Positive impact: very good data discovery quality
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