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IBM Netezza Performance Server vs. PrestoDB (or Presto)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Netezza Performance Server

    Score8.9 out of 10
    N/ANetezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).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 Netezza Performance ServerPrestoDB (or Presto)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Netezza Performance ServerPrestoDB (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
    IBM Netezza Performance ServerPrestoDB (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
    IBM Netezza Performance ServerPrestoDB (or Presto)
    Likelihood to Recommend
    9.3
    (6 ratings)
    7.8
    (2 ratings)
    User Testimonials
    IBM Netezza Performance ServerPrestoDB (or Presto)
    Likelihood to Recommend
    IBM
    We can query the data source and treat multiple databases
    as one with IBM Netezza Performance Server.



    While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
    management.



    To drive organizational performance, Netezza Performance
    Server automatically simplifies data and AI to centralize all analytics
    activities on the device, exactly where the data resides.



    For data processing and application dashboards, IBM Netezza
    Performance Server is quite beneficial.





    IBM Netezza Performance Server simplifies event setup
    by notifying you when a hardware component fails, allowing you to quickly
    replace it.
    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
    • IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
    • Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
    • We can prioritize specific users and queries using IBM Netezza Performance Server.
    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
    • More tech support may make it easier as it is only limited to be done via company representatives
    • Overhead cost for replacements and services looks like it is high compared to others
    • Integration with other cloud based application will be great
    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
    IBM
    Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.
    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 appliance is all in one so we have all licenses and support contracts under one roof.
    • The cost is expensive so ROI may take time to be realized.
    • If done correctly, then Netezza provides the opportunity for huge ROI.
    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
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    ScreenShots