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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Data Virtuality Platform

    Score8 out of 10
    N/AData Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…N/A

    Presto

    Score2.6 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
    Data Virtuality PlatformPresto
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Data Virtuality PlatformPresto
    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
    Data Virtuality PlatformPresto
    Small Businesses
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    Score7.5 out of 10
    Medium-sized Companies
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    SAP HANA Cloud
    Score8.9 out of 10
    Enterprises
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    SAP IQ
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Data Virtuality PlatformPresto
    Likelihood to Recommend
    8.0
    (1 ratings)
    7.8
    (2 ratings)
    User Testimonials
    Data Virtuality PlatformPresto
    Likelihood to Recommend
    Data Virtuality
    Data Virtuality Platform's best and most unique feature is
    that it is SQL-based, giving us flexibility when working with our data that
    other marketing integration pipeline tools couldn't provide. Our main benefits
    are the short time it takes to connect to our data sources and the flexibility
    of the virtual SQL layer to meet our end users' data needs. It paves the way
    for us to tap into various data repositories, extract the data contained
    within, and examine it. It allows us to access information, generate actionable
    reports, and make data-driven decisions. However, inadequate data governance
    rules and a complex configuration process make data connectors challenging.
    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
    Read full review
    Pros
    Data Virtuality
    • ETL/ELT model building is flexible.
    • The pipes' setup and use are intuitive.
    • It lets us access various data sources, extract, and analyze data.
    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
    Data Virtuality
    • Configuring data connectors can be tricky.
    • Price could be more flexible and adapt to the use case.
    • The ETL builder's user interface could be prettier.
    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
    Read full review
    Alternatives Considered
    Data Virtuality
    Data Virtuality Platform has powerful transformation and
    scheduling capabilities combined with the best support team. A virtual data
    layer that supports SQL procedures is a game changer. Data Virtuality has made
    data management more efficient. It lets us access various data sources, extract,
    and analyze data. The short time it takes to connect to our data sources and
    the flexibility of the virtual SQL layer allows us to meet our end users' data
    needs.
    Incentivized
    Read full review
    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
    Read full review
    Return on Investment
    Data Virtuality
    • It has the capability of integrating data from a variety of different sources.
    • It improved development and user interface to offer a robust MDM repository and strategy.
    • It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.
    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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