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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Databox

    Score10 out of 10
    N/ADatabox is business intelligence software built for teams that need fast, actionable insights.

    $79

    per month

    Maple

    Score8 out of 10
    N/AMaple is a virtual care platform that lets Canadians see licensed doctors 24/7, with under five minute wait times. Patients can also see specialists such as psychotherapists, psychiatrists, dermatologists, and endocrinologists. Instead of spending hours in a waiting room, users just open Maple on a smartphone, tablet, or computer. Press a button to be matched with the next available doctor for health advice, treatment, prescriptions, lab requisitions, and other…N/A
    Pricing
    DataboxMaple
    Editions & Modules
    Free
    $0
    1 user, 3 data sources & 50 AI credits/mo included
    Analyst
    $89
    per month 1 user, 5 data sources & 150 AI credits/mo included
    Team
    $249
    per month 3 users, 10 data sources & 500 AI credits/mo included
    Agency
    Starting at $99
    per month 4 clients, unlimited users, 20 data sources & 300 AI credits/mo included
    Custom
    Contact us
    More users, More data sources, More AI credits/mo, We optimize it as your needs
    No answers on this topic
    Offerings
    Pricing Offerings
    DataboxMaple
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details20% discount for annual pricing.—
    More Pricing Information
    Features
    DataboxMaple
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Databox and Maple
    Feature
    Databox
    9.3
    8 Ratings
    13% above category average
    Maple
    -
    Ratings
    Pixel Perfect reports10.05 Ratings00 Ratings
    Customizable dashboards8.98 Ratings00 Ratings
    Report Formatting Templates8.98 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Databox and Maple
    Feature
    Databox
    8.6
    8 Ratings
    7% above category average
    Maple
    -
    Ratings
    Drill-down analysis8.06 Ratings00 Ratings
    Formatting capabilities8.98 Ratings00 Ratings
    Integration with R or other statistical packages7.93 Ratings00 Ratings
    Report sharing and collaboration9.48 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Databox and Maple
    Feature
    Databox
    8.3
    8 Ratings
    1% above category average
    Maple
    -
    Ratings
    Publish to Web8.96 Ratings00 Ratings
    Publish to PDF8.97 Ratings00 Ratings
    Report Versioning7.74 Ratings00 Ratings
    Report Delivery Scheduling8.98 Ratings00 Ratings
    Delivery to Remote Servers7.13 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Databox and Maple
    Feature
    Databox
    7.7
    7 Ratings
    4% below category average
    Maple
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)8.36 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.04 Ratings00 Ratings
    Predictive Analytics7.95 Ratings00 Ratings
    Best Alternatives
    DataboxMaple
    Small Businesses
    Cyfe
    Score4 out of 10
    No answers on this topic
    Medium-sized Companies
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    No answers on this topic
    Enterprises
    Sisense
    Score6.9 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DataboxMaple
    Likelihood to Recommend
    8.0
    (8 ratings)
    8.0
    (1 ratings)
    Usability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.8
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    DataboxMaple
    Likelihood to Recommend
    Databox
    I believe Databox can be an asset for any company. We are a small company, but I can see the value for large companies too. Databox is a great fit for departments or organizations that need to put their data into a readable form without needing a ton of reports. Databox allows you to save time and put together a nice report without having to do too much extra work. Once it is set up, it basically runs on its own at the frequency you set. I personally receive a daily report and have it sent to the respective people on the day of our meeting so we can quickly review it.
    Incentivized
    Read full review
    Maple
    Maple is very useful in following scenarios :
    • When doing some equation modelling for differential equations
    • Writing code to simulate a electrical of mathematical system
    • Speech and Image Processing Use case
    • Linear Algebra Problems
    • Lot of Options to plot 2-D and 3-D, including implicit, contour, complex, polar, vector field, conformal, density, ODE, PDE, and, statistical plot
    • Engineering plots, including time and frequency domain responses and root-locus and root-contour plots
    Incentivized
    Read full review
    Pros
    Databox
    • Create dashboards from a variety of data sources.
    • Set & track goals based on the data and metrics provided.
    • Send alerts and scorecard updates to Slack and email automatically.
    Incentivized
    Read full review
    Maple
    • Numerical Calculation and Calculus
    • Visualization of statistical and numerical data
    • Predefined code templates for standard problem like finding FFT
    Incentivized
    Read full review
    Cons
    Databox
    • Some types of data can only be reported on for 1-2 months back. Unless I'm misunderstanding the function of the software this seems really weird. I can't figure out how to report on Activities more than 2 months ago
    Incentivized
    Read full review
    Maple
    • On the software side and the software is bulky
    • Code Editor can be improved
    • Sometime software fails and hang when doing high calculation
    Incentivized
    Read full review
    Usability
    Databox
    Databox is an intuitive, well-designed platform that can be used by non-technical marketers. It is easy to learn, and while set up takes time, usability is high and the team has enjoyed creating custom dashboards and clients have also given us great feedback regarding its usability and value. While other BI tools are much more complex to navigate, Databox is a breeze.
    Incentivized
    Read full review
    Maple
    No answers on this topic
    Support Rating
    Databox
    I have really enjoyed using Databox and have seen the value of it in many ways. They also continue to improve the functions of it and grow their integrations and templates. I look forward to continuing to use Databox in the future, potentially even finding ways to incorporate it into other departments to help them with reporting as well.
    Incentivized
    Read full review
    Maple
    No answers on this topic
    Alternatives Considered
    Databox
    Databox is unique in its ability to report from multiple data sources. Google Analytics is the standard when it comes to web metrics, but it's just one of the tools that integrates with Databox. Tableau is fantastic for data visualizations and reporting, but it's much more expensive than Databox, so it's not ideal for everyone. Tableau is also superior with customization
    Incentivized
    Read full review
    Maple
    Maple is a very niche product and competes directly with Mathematica and MATLAB. It is a little expensive as compared to the other two however has more set of functions and libraries which makes it for suitable for high level and complex mathematics. It's editor is not on par with other two however it's visualization module is very good and powerful.
    Incentivized
    Read full review
    Return on Investment
    Databox
    • It has helped us to show our value to clients
    • Easily digestible dashboards make it easy to understand what you're looking at
    Incentivized
    Read full review
    Maple
    • It saves time and does lot of hard calculation which is not possible manually
    • Software is little bit expensive however has more functions as compared to Matlab and Mathematica
    • Learning curve is little steep and hence take additional time to master
    Incentivized
    Read full review
    ScreenShots

    Databox Screenshots

    Screenshot of Better-informed actions by you, your team, or agents.Screenshot of Combine your performance data with AI-powered analysis and workflows, so you can analyze, report, and take better-informed action faster.Screenshot of Use MCP connectors to bring trusted Databox data into your AI tools and get answers grounded in your business performance.Screenshot of Create clear dashboards and reports that keep everyone aligned on performance and the metrics that matter.Screenshot of Bring all your data together in one place, with consistent metrics you can confidently use to make decisions.Screenshot of Connect your favorite tools and bring all your data into one place for a complete view of your performance.