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Informatica Cloud Data Governance, Access and Privacy vs. PrestoDB (or Presto)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Informatica Cloud Data Governance, Access and Privacy

    Score7 out of 10
    N/AInformatica 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

    PrestoDB (or Presto)

    Score10 out of 10
    N/APresto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases. Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.N/A
    Pricing
    Informatica Cloud Data Governance, Access and PrivacyPrestoDB (or Presto)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data Governance, Access and PrivacyPrestoDB (or Presto)
    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
    Best Alternatives
    Informatica Cloud Data Governance, Access and PrivacyPrestoDB (or Presto)
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    Amazon RDS
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    Medium-sized Companies
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    Enterprises
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    User Ratings
    Informatica Cloud Data Governance, Access and PrivacyPrestoDB (or Presto)
    Likelihood to Recommend
    7.2
    (3 ratings)
    7.8
    (2 ratings)
    Likelihood to Renew
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Informatica Cloud Data Governance, Access and PrivacyPrestoDB (or Presto)
    Likelihood to Recommend
    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.
    Incentivized
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    Open Source
    Presto is for interactive simple queries, where Hive is for reliable processing. If you have a fact-dim join, presto is great..however for fact-fact joins presto is not the solution.. Presto is a great replacement for proprietary technology like Vertica
    Incentivized
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    Pros
    Informatica
    • automated sensitive field detection
    • replace critical data with dummy but real-looking data
    • threat detection
    • role based access
    Incentivized
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    Open Source
    • Linking, embedding links and adding images is easy enough.
    • Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
    • Organizing & design is fairly simple with click & drag parameters.
    Incentivized
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    Cons
    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.
    Incentivized
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    Open Source
    • Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
    • Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
    • UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.
    Incentivized
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    Alternatives Considered
    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.
    Incentivized
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    Open Source
    Presto is good for a templated design appeal. You cannot be too creative via this interface - but, the layout and options make the finalized visual product appealing to customers. The other design products I use are for different purposes and not really comparable to Presto.
    Incentivized
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    Return on Investment
    Informatica
    • risk mitigation
    • data loss prevention
    • role based data access
    Incentivized
    Read full review
    Open Source
    • Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
    • Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
    • Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.
    Incentivized
    Read full review
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