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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Grist

    Score9.9 out of 10
    N/AGrist combines the capabilities of spreadsheets, databases and app builders. Using a familiar spreadsheet interface, information can be organized as a relational database, and dashboards built using drag-and-drop. Solving spreadsheet problems Ensures data is well-structured and stored in one place with no duplication, no spreadsheet-wrangling, no merging documents. Collaboration on sensitive data Data is protected…

    $8

    per month per user

    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
    GristPrestoDB (or Presto)
    Editions & Modules
    Pro
    $8
    per month per user
    Enterprise
    Contact Sales
    No answers on this topic
    Offerings
    Pricing Offerings
    GristPrestoDB (or Presto)
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    GristPrestoDB (or Presto)
    Likelihood to Recommend
    9.9
    (2 ratings)
    7.8
    (2 ratings)
    User Testimonials
    GristPrestoDB (or Presto)
    Likelihood to Recommend
    Grist Labs
    This is well suited to someone (or a team) who are technically minded and have a dataset that they need to be able to use in many ways. It's less appropriate for a team who isn't technically minded and/or don't have the data they need to manipulate. It would be useful for things that you could use a database or spreadsheet for such as CRM, Advertising database, Business tracking, Health tracking etc.
    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
    Grist Labs
    • Provides amazing customer service, help, examples, and explains what they are having you do
    • The layout is easy
    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
    Grist Labs
    • Making the user permissions more obvious on how to use them - They are highly adaptable, but hard to understand how to use them
    • Small changes such as auto colouring the choices/toggles options and being able to edit them once set.
    • Being able to copy the formatting from one column to the next
    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
    Grist Labs
    Grist is easier to use, faster, and loads quicker with heavy data.
    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
    Grist Labs
    • It's saved a lot of time in both creating an advertising database and managing it week to week effectively. I had previously created in others that haven't worked, and this does, saving me a good 1 hour weekly, and 5 hours or more each time I had problems with the last ones
    • Being able to stay on track with this has meant I'm following up at the right time (advertisers) and keeping a professional manner and not losing business due to missed communication
    • Saving me $ from buying a program like Access (or Airtable monthly) and then the learning curve that that has. This has a much easier learning curve to say the least.
    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

    Grist Screenshots

    Screenshot of the drag and drop dashboard editor used to build layouts.Screenshot of the custom user permissions that determine who can see what, down to each column and row.Screenshot of dynamic charts and reports that update with the click of a mouse.Screenshot of Grist's formula support for Excel-like functions or Python formulas. Technical users can drill into database structure in code view.