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Cloudera Data Platform vs. PrestoDB (or Presto)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Cloudera Data Platform

    Score7.4 out of 10
    N/ACloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.

    $0.04

    per CCU (hourly rate)

    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
    Cloudera Data PlatformPrestoDB (or Presto)
    Editions & Modules
    CDP Public Cloud - Data Hub
    $0.04
    per CCU (hourly rate)
    CDP Public Cloud - Data Warehouse
    $0.054
    per CCU (hourly rate)
    CDP Public Cloud - Data Engineering
    $0.07
    per CCU (hourly rate)
    CDP Public Cloud - Operational Database
    $0.08
    per CCU (hourly rate)
    CDP Public Cloud - Flow Management
    $0.15
    per CCU (hourly rate)
    CDP Public Cloud - Machine Learning
    $0.17
    per CCU (hourly rate)
    CDP Private Cloud - Plus Edition
    $400
    CCU (annual subscription)
    CDP Private Cloud - Base Edition
    $10,000.00
    node + variable (annual subscription)
    No answers on this topic
    Offerings
    Pricing Offerings
    Cloudera Data PlatformPrestoDB (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
    Cloudera Data PlatformPrestoDB (or Presto)
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Cloudera Data PlatformPrestoDB (or Presto)
    Likelihood to Recommend
    7.0
    (1 ratings)
    7.8
    (2 ratings)
    Support Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Cloudera Data PlatformPrestoDB (or Presto)
    Likelihood to Recommend
    Cloudera
    I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
    Incentivized
    Read full review
    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
    Cloudera
    • Scales
    • Highly available
    Incentivized
    Read full review
    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
    Read full review
    Cons
    Cloudera
    • Constantly changing costs
    • Log visibility
    Incentivized
    Read full review
    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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    Support Rating
    Cloudera
    We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
    Incentivized
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    Open Source
    No answers on this topic
    Alternatives Considered
    Cloudera
    IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
    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
    Cloudera
    • Reduced operational costs
    • Speed to market
    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
    ScreenShots