Causal vs. Grafana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Causal
Score 10.0 out of 10
N/A
Causal, from the company of the same name in London, presents a way to perform calculations, visualise data, and communicate with numbers. It helps build models faster, connect them directly to data, and share them with interactive dashboards and visuals. Suggested use cases are financial planning, planning CPC campaigns, track KPIs, or determine employee compensation.
$50
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.
$0
Pricing
CausalGrafana
Editions & Modules
Pro
$50
per user, per month
Business
Contact Sales
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
CausalGrafana
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
CausalGrafana
Features
CausalGrafana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Causal
9.3
1 Ratings
14% above category average
Grafana
8.2
7 Ratings
1% above category average
Pixel Perfect reports8.01 Ratings7.87 Ratings
Customizable dashboards10.01 Ratings8.67 Ratings
Report Formatting Templates10.01 Ratings8.37 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Causal
8.3
1 Ratings
6% above category average
Grafana
7.9
6 Ratings
1% above category average
Drill-down analysis9.01 Ratings7.86 Ratings
Formatting capabilities8.01 Ratings8.36 Ratings
Report sharing and collaboration8.01 Ratings8.05 Ratings
Integration with R or other statistical packages00 Ratings7.56 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Causal
8.0
1 Ratings
3% below category average
Grafana
8.4
6 Ratings
2% above category average
Publish to Web8.01 Ratings8.16 Ratings
Publish to PDF8.01 Ratings8.76 Ratings
Report Versioning8.01 Ratings8.36 Ratings
Report Delivery Scheduling8.01 Ratings8.46 Ratings
Delivery to Remote Servers8.01 Ratings8.76 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Causal
8.0
1 Ratings
3% above category average
Grafana
8.5
6 Ratings
9% above category average
Predictive Analytics8.01 Ratings8.46 Ratings
Pattern Recognition and Data Mining8.01 Ratings8.14 Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.66 Ratings
Location Analytics / Geographic Visualization00 Ratings9.06 Ratings
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CausalGrafana
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Medium-sized Companies
Supermetrics
Supermetrics
Score 9.9 out of 10
Supermetrics
Supermetrics
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
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Score 7.3 out of 10
IBM Analytics Engine
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Score 7.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
CausalGrafana
Likelihood to Recommend
10.0
(1 ratings)
9.4
(7 ratings)
Usability
-
(0 ratings)
9.6
(3 ratings)
User Testimonials
CausalGrafana
Likelihood to Recommend
Causal, Inc
Definitely suited best for B2B / B2B2C product modelling. We used this for B2B / B2B2C / C2C and the C2C side of things was always more complex to model out due to this being dependent on marketing spend (CAC) and factors around virality which really cannot be forecasted (not a shortcoming of Causal, just implied by the mechanics of modelling)
Read full review
Grafana Labs
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
Causal, Inc
No answers on this topic
Grafana Labs
  • 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
Read full review
Cons
Causal, Inc
No answers on this topic
Grafana Labs
  • There are some settings which we can't configure from UI (Web Console).
  • We've open[ed] up configuration files in command line text editors and manually do the settings e.g. LDAP/SSO configuration.
  • In terms of visualization, it's best, but it doesn't support log analysis otherwise it could destroy business of all other visualization tools.
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Usability
Causal, Inc
No answers on this topic
Grafana Labs
It is infinitely flexible. If you can imagine it, Grafana can almost certainly do it. Usability may be in the eye of the beholder however, as there is time needed to curate the experience and get the dashboards customized to how it makes sense to you. I know one thing they are working on are more templates, based on data sources
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Alternatives Considered
Causal, Inc
No answers on this topic
Grafana Labs
Grafana blows Nagios out of the water when it comes to customization. The ability to feed almost any data source makes it very versatile and the cost is great.
Read full review
Return on Investment
Causal, Inc
No answers on this topic
Grafana Labs
  • Grafana has replaced many higher priced tools
  • The integrations are seemless with multiple backends
  • Combining graphs and dashboards from multiple data sources is a game changer
Read full review
ScreenShots