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IBM watsonx.data intelligence vs. PrestoDB (or Presto)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM watsonx.data intelligence

    Score9.2 out of 10
    N/AIBM® watsonx.data intelligence provides data governance software (formerly IBM Knowledge Catalog) that provides a data catalog to automate data discovery, data quality management and data protection - for both structured and unstructured data.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
    IBM watsonx.data intelligencePrestoDB (or Presto)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM watsonx.data intelligencePrestoDB (or Presto)
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsIBM watsonx.data intelligence's pricing that scales with usage and functionality. watsonx.data intelligence can be deployed in various environments such as cloud, hybrid, or on-premises. The on-premises offering is available via subscription or perpetual licenses, charged with a consumption-based Resource Unit model. The SaaS offering is available via Resource Units or Instances, with the ability to upgrade to higher tiers as needed.—
    More Pricing Information
    Best Alternatives
    IBM watsonx.data intelligencePrestoDB (or Presto)
    Small Businesses
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    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
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    SingleStore
    Score8.2 out of 10
    Enterprises
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    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM watsonx.data intelligencePrestoDB (or Presto)
    Likelihood to Recommend
    8.7
    (3 ratings)
    7.8
    (2 ratings)
    User Testimonials
    IBM watsonx.data intelligencePrestoDB (or Presto)
    Likelihood to Recommend
    IBM
    The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.
    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
    IBM
    • Data discovery.
    • Technical Data Lineage.
    • Business Data Lineage.
    • Data .
    • Multiple Data Catalog Management.
    • Creation of Governance Rules.
    • Data Masking.
    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
    IBM
    • I think an industry-specific data catalog service will be good.
    • Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
    • Effective reach out like roadshows, etc. will be good.
    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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    Usability
    IBM
    It is very easy to use and very intuitive Es muy sencilla de utilizar y muy intuitiva
    Incentivized
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    Open Source
    No answers on this topic
    Alternatives Considered
    IBM
    The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.
    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
    IBM
    • The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
    • The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.
    Incentivized
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    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
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