Databox vs. Google Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting 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
Google Analytics
Score 8.2 out of 10
N/A
Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
$0
per month
Pricing
DataboxGoogle Analytics
Editions & Modules
Professional
$199
per month
Growth
$499
per month
Premium
$999
per month
Google Analytics 360
150,000
per year
Google Analytics
Free
Offerings
Pricing Offerings
DataboxGoogle Analytics
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details20% discount for annual pricing.
More Pricing Information
Community Pulse
DataboxGoogle Analytics
Considered Both Products
Databox
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 …
Google Analytics
Chose Google Analytics
Databox allows you to manipulate GA data in a way that you want to see it represented. This is great when you’re working on behalf of several clients who need an end of the month or end of the quarter report.
Features
DataboxGoogle Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databox
9.3
8 Ratings
13% above category average
Google Analytics
-
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 Product A and Product B
Databox
8.6
8 Ratings
7% above category average
Google Analytics
-
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 Product A and Product B
Databox
8.3
8 Ratings
1% above category average
Google Analytics
-
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 Product A and Product B
Databox
7.7
7 Ratings
4% below category average
Google Analytics
-
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
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Databox
-
Ratings
Google Analytics
8.4
11 Ratings
4% above category average
Lead Conversion Tracking00 Ratings8.110 Ratings
Bounce Rate Measurement00 Ratings8.410 Ratings
Device and Browser Reporting00 Ratings9.211 Ratings
Pageview Tracking00 Ratings9.011 Ratings
Event Tracking00 Ratings8.311 Ratings
Reporting in real-time00 Ratings7.910 Ratings
Referral Source Tracking00 Ratings8.510 Ratings
Customizable Dashboards00 Ratings7.910 Ratings
Best Alternatives
DataboxGoogle Analytics
Small Businesses
Yellowfin
Yellowfin
Score 8.7 out of 10
StatCounter
StatCounter
Score 9.0 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Optimal
Optimal
Score 9.1 out of 10
Enterprises
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
Optimal
Optimal
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataboxGoogle Analytics
Likelihood to Recommend
8.0
(8 ratings)
8.6
(193 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(51 ratings)
Usability
9.0
(1 ratings)
7.4
(19 ratings)
Availability
-
(0 ratings)
10.0
(4 ratings)
Performance
-
(0 ratings)
10.0
(2 ratings)
Support Rating
9.8
(3 ratings)
7.0
(42 ratings)
Online Training
-
(0 ratings)
10.0
(2 ratings)
Implementation Rating
-
(0 ratings)
9.0
(7 ratings)
Configurability
-
(0 ratings)
6.0
(2 ratings)
Ease of integration
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
10.0
(2 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
DataboxGoogle Analytics
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.
Read full review
Google
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
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.
Read full review
Google
  • Multiple reports to see website use and behavior
  • Allows you to customize reports with days, weeks, months, and years
  • You can build out a dashboard to easily view stats from multiple websites in one place
  • You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats
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
Read full review
Google
  • Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
  • Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
  • Gotchas around filtering and data validation.
  • Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.
Read full review
Likelihood to Renew
Databox
No answers on this topic
Google
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
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.
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Google
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
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Reliability and Availability
Databox
No answers on this topic
Google
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
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Performance
Databox
No answers on this topic
Google
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
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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.
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Google
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
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Online Training
Databox
No answers on this topic
Google
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
  1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
  2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
  3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
  4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
  5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
  6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.
Read full review
Implementation Rating
Databox
No answers on this topic
Google
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
Read full review
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
Read full review
Google
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
Read full review
Scalability
Databox
No answers on this topic
Google
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
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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
Read full review
Google
  • It has helped us gain understanding of what is going on on our website.
  • It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
  • It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
  • It has helped guide our website redesign.
Read full review
ScreenShots

Databox Screenshots

Screenshot of a dashboard used to tack and monitor company’s metrics and KPIs.Screenshot of an example of a custom dashboard that can be built in minutes, without code.Screenshot of a custom report which can be created by adding dashboards, images, and text. In both slide and pageless format.Screenshot of an example of how to compare performance across companies, to see where there’s room to improve.Screenshot of an example prediction of how a campaign is likely to perform. These can be viewed over months, quarters, or years.Screenshot of an AI-generated summary of performance.