Atlan vs. Informatica Cloud Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Atlan
Score 9.4 out of 10
N/A
Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Slack, BI tools, data science tools and more. Key capabilities: Search, catalog and browse data assets…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
AtlanInformatica Cloud Data Governance
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
AtlanInformatica 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
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AtlanInformatica Cloud Data Governance
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User Ratings
AtlanInformatica Cloud Data Governance
Likelihood to Recommend
8.7
(2 ratings)
6.5
(2 ratings)
User Testimonials
AtlanInformatica Cloud Data Governance
Likelihood to Recommend
Atlan
Well suited if you're using a lot of tools that work in tandem with this such as Snowflake, Amazon, S3, Tableau, Power, BI, Redshift, and others. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, less suited for collaboration across teams. Not a ton of ways to do things in real-time together.
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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
Atlan
  • Here, it is very easy to extract and modify the data.
  • We can do very quick and smooth integration over here.
  • It's OpenSource framework provides extension capabilities to the API it uses
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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
Atlan
  • API documentation could be improved
  • Support team could be quicker in their response
  • Not a lot of "help" type information users can self-access
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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
Atlan
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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
Atlan
  • Atlan has certainly saved time and money by consolidating our metadata sets
  • Integrations with Amazon and Tableau have definetely sped up our time to value
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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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