Databox vs. Shiny

Databox

Shiny

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Databox	Score 10.0 out of 10	N/A	Databox is business intelligence software built for teams that need fast, actionable insights.	$199 per month
Shiny	Score 8.0 out of 10	N/A	Shiny 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

Databox

Shiny

Editions & Modules

Professional: $199
per month
Growth: $499
per month
Premium: $999
per month

No answers on this topic

Offerings

Pricing Offerings
Databox	Shiny
Free Trial
Yes	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

20% discount for annual pricing.

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More Pricing Information

Community Pulse
	Databox	Shiny
Considered Both Products	Databox Dustin Brackett CEO Chose Databox In comparison, Databox has been a more robust solution and one that works really well with HubSpot (our preferred marketing automation platform). It's a bit pricier than Cyfe was (not sure now), but the features are worth it. Incentivized Helpful? Michael Glover Content Marketer Chose Databox Much cheaper and seems to do at least as good of a job while having a similar integration stack. I also appreciate the efforts Databox go to on their blog and podcast to help educate people on all things data and metrics. Incentivized Helpful? Verified User Anonymous Chose Databox Databox automatically integrates with tons of different data sources without you needing to arrange the backend information on how everything should connect. Tableau, Power BI, and Sisense require a lot of manual setup unless you have all of your fields perfectly matched up … Incentivized Helpful? Heather Robinette, MBA Marketing Manger Chose Databox While HubSpot is where we store our information and utilize the systems, the reporting wasn't deep enough and it didn't include the entire website since it is hosted elsewhere. So I started looking at options, and Databox came as a recommendation so I checked it out and haven't … Incentivized Helpful? Verified User Anonymous Chose Databox Databox and Grow are similar tools, and truthfully, Grow is a more powerful platform with more sophisticated reporting, integrations, and a larger feature set. However, Grow is significantly more expensive and Databox has the features you need most for less of an investment. I … Incentivized Helpful? Stephanie Tran Sales System Architect Chose Databox HubSpot's reporting tool simply isn't enough. It also doesn't help that the reporting add-on for HubSpot is an additional $200/month, and it only reports on HubSpot stuff. That's why we selected Databox--to report on other platforms like FB ads, Google Analytics, etc. However, … Incentivized Helpful? Eric Pratt Managing Partner Chose Databox Databox is easier to set up and is much less costly. Incentivized Helpful? Daniel Berry SEO Strategy Specialist Chose 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 … Incentivized Helpful?	Shiny Verified User Anonymous Chose Shiny Whilst dashboarding may be comparable with some of the other products we evaluated. Nothing compared to the analytical capabilities on offer with Shiny. An added advantage was that we had colleagues knowledgeable in R which meant bringing in Shiny and getting to grips with it … Incentivized Helpful? Kenton Woods Research Assistant Chose Shiny Shiny is much cheaper to use than Tableau Desktop and Microsoft Power BI. It's not as fancy, and maybe not as effective, but you save lots of money by using Shiny over the previously listed alternatives. The graphs and charts you can make in Shiny are very good for … Incentivized Helpful? Verified User Anonymous Chose Shiny Both Tableau and Power BI are easier to learn and allow you to develop dashboards in a faster and more intuitive way, but both have limitations in what you can do with them and if you want to do something more specific it is always more complicated. RStudio is much more … Incentivized Helpful? Verified User Anonymous Chose Shiny - Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling. Incentivized Helpful? VK Varun Kumar Data Science and Analytics Lead Chose Shiny Shiny can be a good tool in academic but its not upto standard of TMT industry but could possibly be useful in life science industry (which is where its more prevalent usually), its good as its mostly free (not including cost of servers and compute). I would rank its … Incentivized Helpful? Verified User Anonymous Chose Shiny Shiny allows easy and fast development of a product into production whereas Jupyter Notebook can be broken really easily by a user. The idea of having a specific server that works with that model is very practical and it's a good advantage. In the contrary, the quantity of … Incentivized Helpful?

Features

Databox

Shiny

BI Standard Reporting

Comparison of BI Standard Reporting features of Product A and Product B
	Databox 9.3 Ratings 13% above category average	Shiny - Ratings
Pixel Perfect reports	10.00 Ratings	00 Ratings
Customizable dashboards	8.90 Ratings	00 Ratings
Report Formatting Templates	8.90 Ratings	00 Ratings

Ad-hoc Reporting

Comparison of Ad-hoc Reporting features of Product A and Product B
	Databox 8.6 Ratings 7% above category average	Shiny - Ratings
Drill-down analysis	8.00 Ratings	00 Ratings
Formatting capabilities	8.90 Ratings	00 Ratings
Integration with R or other statistical packages	7.90 Ratings	00 Ratings
Report sharing and collaboration	9.40 Ratings	00 Ratings

Report Output and Scheduling

Comparison of Report Output and Scheduling features of Product A and Product B
	Databox 8.3 Ratings 2% above category average	Shiny - Ratings
Publish to Web	8.90 Ratings	00 Ratings
Publish to PDF	8.90 Ratings	00 Ratings
Report Versioning	7.70 Ratings	00 Ratings
Report Delivery Scheduling	8.90 Ratings	00 Ratings
Delivery to Remote Servers	7.10 Ratings	00 Ratings

Data Discovery and Visualization

Comparison of Data Discovery and Visualization features of Product A and Product B
	Databox 7.7 Ratings 4% below category average	Shiny - Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)	8.30 Ratings	00 Ratings
Location Analytics / Geographic Visualization	7.00 Ratings	00 Ratings
Predictive Analytics	7.90 Ratings	00 Ratings

Best Alternatives
	Databox	Shiny
Small Businesses	Yellowfin Score 8.6 out of 10	Supermetrics Score 9.7 out of 10
Medium-sized Companies	Reveal Score 10.0 out of 10	Supermetrics Score 9.7 out of 10
Enterprises	Kyvos Semantic Layer Score 9.5 out of 10	IBM Analytics Engine Score 7.1 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Databox	Shiny
Likelihood to Recommend	8.0 (0 ratings)	8.0 (0 ratings)
Usability	9.0 (0 ratings)	- (0 ratings)
Support Rating	9.8 (0 ratings)	- (0 ratings)

User Testimonials
	Databox	Shiny
Likelihood to Recommend	Databox is fantastic for companies or agencies that regularly report on a variety of metrics from multiple data sources. It's ideal for any company that uses a variety of different tools (as long as Databox integrates with them). It's particularly good for HubSpot agencies and companies that use HubSpot. It's maybe not necessary for companies that only use one tool or don't do reporting. Incentivized Daniel Berry SEO Strategy Specialist Read full review	Shiny is very good for developing dashboards or web applications with specific functionalities. But it is not so easy to use to develop from scratch, it is always better to use another tool to have a general idea of what is expected of a dashboard and then develop the most specific functionalities in Shiny. It is much more flexible than other tools and that is why I consider it to be better for most cases, only that it is more complex to develop or has a longer learning curve. Incentivized Verified User Anonymous Read full review
Pros	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 Michael Glover Content Marketer Read full review	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 Kenton Woods Research Assistant Read full review
Cons	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 Verified User Anonymous Read full review	Shiny can be really time consuming to create visuals. It needs excellent knowledge of R programming and coding skillset. It still has a limited set of options to choose from. Incentivized VK Varun Kumar Data Science and Analytics Lead Read full review
Usability	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 Verified User Anonymous Read full review	No answers on this topic
Support Rating	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 Heather Robinette, MBA Marketing Manger Read full review	No answers on this topic
Alternatives Considered	While HubSpot is where we store our information and utilize the systems, the reporting wasn't deep enough and it didn't include the entire website since it is hosted elsewhere. So I started looking at options, and Databox came as a recommendation so I checked it out and haven't turned back. I didn't evaluate any other products because Databox met our need and we were able to get started right away. Incentivized Heather Robinette, MBA Marketing Manger Read full review	Whilst dashboarding may be comparable with some of the other products we evaluated. Nothing compared to the analytical capabilities on offer with Shiny. An added advantage was that we had colleagues knowledgeable in R which meant bringing in Shiny and getting to grips with it was a lot more seamless and welcomed by the end users. Incentivized Verified User Anonymous Read full review
Return on Investment	It has helped us to show our value to clients Easily digestible dashboards make it easy to understand what you're looking at Incentivized Dustin Brackett CEO Read full review	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 Verified User Anonymous Read full review
ScreenShots	Databox Screenshots