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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Redash

    Score8.7 out of 10
    N/ARedash is a data visualization tool designed to allow users to connect and query any data sources, build dashboards to visualize data and share them with a company. Databricks acquired Redash in June 2020.N/A

    Shiny

    Score8 out of 10
    N/AShiny allows users to create data visualization apps, and is designed to be easy to write with. These apps let users interact with data and analyses with R or Python.N/A
    Pricing
    RedashShiny
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    RedashShiny
    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
    Community Pulse
    RedashShiny
    Considered Both Products
    Databricks
    No answer on this topic
    Posit (formerly RStudio)
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    83%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    83%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    No answers on this topic
    83%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    5 Answers
    Features
    RedashShiny
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Redash and Shiny
    Feature
    Redash
    6.9
    4 Ratings
    16% below category average
    Shiny
    -
    Ratings
    Pixel Perfect reports7.04 Ratings00 Ratings
    Customizable dashboards7.84 Ratings00 Ratings
    Report Formatting Templates5.84 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Redash and Shiny
    Feature
    Redash
    6.1
    4 Ratings
    25% below category average
    Shiny
    -
    Ratings
    Drill-down analysis5.94 Ratings00 Ratings
    Formatting capabilities7.84 Ratings00 Ratings
    Integration with R or other statistical packages2.73 Ratings00 Ratings
    Report sharing and collaboration8.04 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Redash and Shiny
    Feature
    Redash
    5.4
    4 Ratings
    41% below category average
    Shiny
    -
    Ratings
    Publish to Web8.02 Ratings00 Ratings
    Publish to PDF7.04 Ratings00 Ratings
    Report Versioning5.53 Ratings00 Ratings
    Report Delivery Scheduling2.63 Ratings00 Ratings
    Delivery to Remote Servers3.93 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Redash and Shiny
    Feature
    Redash
    6.4
    4 Ratings
    19% below category average
    Shiny
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)7.04 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.52 Ratings00 Ratings
    Predictive Analytics4.23 Ratings00 Ratings
    Pattern Recognition and Data Mining7.01 Ratings00 Ratings
    Best Alternatives
    RedashShiny
    Small Businesses
    Chartio (discontinued)
    Score7.5 out of 10
    Chartio (discontinued)
    Score7.5 out of 10
    Medium-sized Companies
    Jet Reports
    Score9.5 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    Kibana
    Score8.4 out of 10
    Kibana
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    RedashShiny
    Likelihood to Recommend
    8.8
    (4 ratings)
    8.0
    (6 ratings)
    User Testimonials
    RedashShiny
    Likelihood to Recommend
    Databricks
    Redash is well suited to situations where metrics are tracked on daily, weekly and monthly basis. Alerts can be set to emails which helps stakeholders to monitor performance on a frequent basis. It is less appropriate for cases where only dashboards are needed. Redash comes into picture where individuals can query and check data at the same time.
    Read full review
    Posit (formerly RStudio)
    Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.
    Incentivized
    Read full review
    Pros
    Databricks
    • Great Query Editor with Autocomplete feature
    • Very easy to setup and quickly connect to variety of data sources
    • Quick Dashboards with Simple UI which can be easily shareable
    Incentivized
    Read full review
    Posit (formerly RStudio)
    • Data tables are appealing to look at.
    • Enables us to create trend indexes in an effective way.
    • Easy to integrate with the rest of my R syntax.
    Incentivized
    Read full review
    Cons
    Databricks
    • You need to have a good command over SQL to use Redash but if there could be some way where people can just pull data and do slice dice.
    • It would be nice to have an excel kind of filters when all data is fetched.
    • Some things like easy to customise the column names.
    Incentivized
    Read full review
    Posit (formerly RStudio)
    • Easier ways to connect to data sources
    • Better access control for different roles in the organization
    • Video material that allows a better learning experience
    Incentivized
    Read full review
    Alternatives Considered
    Databricks
    I was not a part of the decision-making team who decided to go with Redash.
    Incentivized
    Read full review
    Posit (formerly RStudio)
    - Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.
    Incentivized
    Read full review
    Return on Investment
    Databricks
    • Cost effective
    • One tool for multiple purpose
    • Easy access provision
    Read full review
    Posit (formerly RStudio)
    • We saw a good involvement to researchers when showing their models in shiny.
    • We can have a quicker review from the user when the model is in production.
    • False positives can be found easily and they help the retraining of the model.
    Incentivized
    Read full review
    ScreenShots