Databox vs. Grafana

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
Grafana
Score 8.7 out of 10
N/A
Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like Graphite. It also has built-in support for cloud monitoring vendors like Amazon Cloudwatch, Microsoft Azure and SQL databases like MySQL. Grafana can combine data from many places into a single dashboard.
$8
per month up to 1 active user
Pricing
DataboxGrafana
Editions & Modules
Professional
$199
per month
Growth
$499
per month
Premium
$999
per month
Grafana Cloud - Pro
$8
per month up to 1 active user
Grafana Cloud - Free
Free
10k metrics + 50GB logs + 50GB traces up to 3 active users
Grafana Cloud - Advanced
Volume Discounts
custom data usage custom active users
Grafana - Enterprise Stack
Custom Pricing
Offerings
Pricing Offerings
DataboxGrafana
Free Trial
YesYes
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
DataboxGrafana
Features
DataboxGrafana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databox
9.3
Ratings
13% above category average
Grafana
8.0
Ratings
5% below category average
Pixel Perfect reports10.00 Ratings6.00 Ratings
Customizable dashboards8.90 Ratings10.00 Ratings
Report Formatting Templates8.90 Ratings8.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Databox
8.6
Ratings
7% above category average
Grafana
6.8
Ratings
16% below category average
Drill-down analysis8.00 Ratings6.00 Ratings
Formatting capabilities8.90 Ratings8.00 Ratings
Integration with R or other statistical packages7.90 Ratings5.00 Ratings
Report sharing and collaboration9.40 Ratings8.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Databox
8.3
Ratings
0% below category average
Grafana
8.4
Ratings
0% below category average
Publish to Web8.90 Ratings7.00 Ratings
Publish to PDF8.90 Ratings9.00 Ratings
Report Versioning7.70 Ratings9.00 Ratings
Report Delivery Scheduling8.90 Ratings8.00 Ratings
Delivery to Remote Servers7.10 Ratings9.00 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
Grafana
7.7
Ratings
6% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)8.30 Ratings9.00 Ratings
Location Analytics / Geographic Visualization7.00 Ratings9.00 Ratings
Predictive Analytics7.90 Ratings7.00 Ratings
Pattern Recognition and Data Mining00 Ratings6.00 Ratings
Best Alternatives
DataboxGrafana
Small Businesses
BrightGauge
BrightGauge
Score 9.1 out of 10
Supermetrics
Supermetrics
Score 10.0 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Supermetrics
Supermetrics
Score 10.0 out of 10
Enterprises
Kyvos Semantic Intelligence Layer
Kyvos Semantic Intelligence Layer
Score 9.9 out of 10
Dataiku
Dataiku
Score 7.6 out of 10
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User Ratings
DataboxGrafana
Likelihood to Recommend
8.0
(0 ratings)
9.0
(0 ratings)
Usability
9.0
(0 ratings)
10.0
(0 ratings)
Support Rating
9.8
(0 ratings)
-
(0 ratings)
User Testimonials
DataboxGrafana
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.
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Just about any organization with more than one server and more than one cluster as it scales very well. Configuration of the application takes time and finesse to fine tune to where the balance of load time and getting data quickly meets. The plugins add load time but fine tuning for the application to meet demand needs nailed down at implementation
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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.
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  • Alerting through many different medium as Slack, Email, Webhook etc
  • Beautiful and unlimited number of dashboards to view your metrics and tweak them as you please
  • Log aggregation and powerful Logql to filter and view your logs
  • Microservices monitoring
  • Large number of plugins and data sources to collect your metrics from almost anywhere
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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
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  • Documentation needs to be more clarified since it can be confusing for beginners
  • Notification alert message templates need to be simplified
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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.
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Great usage in terms of monitoring of any application from backend to frontend and even any AWS resource via cloud watch and other connectors. Easy to use and configure personalised dash boarding and alerting features. Cost efficient and easy to setup and run, no mazor scaling challenges in terms of managing and maintaining the stack, easy to configure via Prometheus, influx and other connectors
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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.
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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.
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Grafana is more flexible, readily adopts other tools frameworks instead of forcing you to use their agent, doesn't force you into Vendor lock-in, and embraces open source, self-hosted, and Enterprise. Similar companies would like you to use their specific tooling and don't offer nearly as much flexibility. The other thing I like about Grafana is their storage usage is much lower compared to similar tools and competitors
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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
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  • It has kicked out some of our paid monitoring and visualization tools.
  • Now Monitoring, Visualization and Alerting is being done in a single platform.
  • It made monitoring and visualization very easy for us.
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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.