Graph Commons vs. Supermetrics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Graph Commons
Score 0.0 out of 10
N/A
Graph Commons is a self-service collaborative platform for mapping, analyzing, and sharing data-networks. With its interactive network visualization and analysis tools online, Graph Commons aims to empower people and organizations to harness the intelligence of their networks, by transforming their data into interactive maps and untangling complex relations that impact them. Graph Commons offers an empty canvas to get started mapping a network, whether it's a social network, a supply…
$0
Supermetrics
Score 9.7 out of 10
N/A
Supermetrics, from the company of the same name in Helsinki, offers an application which automates integration of data from multiple online advertising platforms (e.g. Facebook, Google Analytics and Adwords, Bing, etc) and supports customizable presentations and visualizations of the aggregated data to make cross-platform comparisons and summaries easier for marketers.
$29
per month per user
Pricing
Graph CommonsSupermetrics
Editions & Modules
Starter
$0
Professional
$15
per month
Organization
$180
per month Starting from 1 Admin + 3 Explorer seats
Essential
$29
per month per user
Core
$159
per month per user
Offerings
Pricing Offerings
Graph CommonsSupermetrics
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsIn addition to the basic licensing tiers, Supermetrics offers customized packages according to customer needs.
More Pricing Information
Community Pulse
Graph CommonsSupermetrics
Considered Both Products
Graph Commons

No answer on this topic

Supermetrics
Chose Supermetrics
Supermetrics is better because of its ease of use and it mirrors most of the metrics on ad platforms. For some similar reporting platforms, metrics are often called something slightly different or are not able to pull the same data as presented on the ad platform; Supermetrics …
Chose Supermetrics
Supermetrics is more simple to set up and start using. It is also more lightweight - with a simple UI and use-case that prevents distraction or unnecessary features interfering with the core use-case.
Chose Supermetrics
Google Analytics has the ability to send reports similar to Supermetrics, but the disadvantage is that it can send only a limited number of rows. The report sent has to be consolidated and then used. Instead, Supermetrics allows to edit the way of reporting easily through the …
Chose Supermetrics
I use both of these services, but Supermetrics has more offerings than the base APIs provided by Google Data Studio. Supermetrics also allows for non-Google product APIs that have helped us develop much richer reports and tools. Also, for the paid APIs that can be used in Data …
Chose Supermetrics
We transitioned from DashThis to Google Data Studio with Supermetrics for our monthly client reports. We found this new solution to be more flexible and customizable. We liked DashThis, however, too.
Chose Supermetrics
Supermetrics is definitely the most sophisticated and adaptable of the tools. It provides the most in-depth metrics reporting, the most accurate reporting, and the most detailed reporting across all of our platforms and campaigns. It is definitely worth the cost, if your …
Best Alternatives
Graph CommonsSupermetrics
Small Businesses
Supermetrics
Supermetrics
Score 9.7 out of 10
Agency Analytics
Agency Analytics
Score 8.9 out of 10
Medium-sized Companies
Supermetrics
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Score 9.7 out of 10
Alteryx Platform
Alteryx Platform
Score 9.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
Alteryx Platform
Alteryx Platform
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Graph CommonsSupermetrics
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Graph CommonsSupermetrics
Likelihood to Recommend
No answers on this topic
If you are looking to pull and aggregate data from multiple sources for reporting or analytics, Supermetrics is the best option for connecting those data sources into a single table. Supermetrics is less beneficial if you report on a single data source or do not need to aggregate your data into a single source.
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Pros
No answers on this topic
  • Supermetrics is easy to use, the ui is helpful for creating queries.
  • Supermetrics allows to run the created queries on triggers.
  • Supermetrics allows to connect with different data sources like Google analytics etc .,
  • Supermetrics sends alert on the failure of queries to the desired email address
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Cons
No answers on this topic
  • Sometimes I have to refer to the website to find which metrics are what - the names aren't always the same as the platform calls them.
  • No public data for LinkedIn.
  • Definitely requires knowledge on how to use Google Data Studio.
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Alternatives Considered
No answers on this topic
Supermetrics is better because of its ease of use and it mirrors most of the metrics on ad platforms. For some similar reporting platforms, metrics are often called something slightly different or are not able to pull the same data as presented on the ad platform; Supermetrics is the closest you'll get to exact data alignment.
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Return on Investment
No answers on this topic
  • Positive! Supermetrics helped us transition into Google Data Studio as our monthly reporting system.
  • Savings! We saved money by switching our reporting to Google Data Studio + Supermetrics.
  • Time! We save a lot of time on our monthly reports thanks to Supermetrics.
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ScreenShots

Graph Commons Screenshots

Screenshot of Network of 🦄 Unicorns and 💰InvestorsScreenshot of Analyzing data with visual methods helps to gain insights about complexity. This makes sense of a complex issue by mapping actors and relations across networked organizations, or when investigating intermingled interactions of an ecosystem, or when curating a large archive.Screenshot of While exploring interactive network maps on Graph Commons, users can deep dive into the data.Screenshot of Centrality and clustering are the core network analysis metrics all available in Graph Commons.Screenshot of Two nodes in a network are considered "similar" if they share many common neighbors. When opening the similarity analysis dialogue, it presents options for selecting node types and their particular relationship types to generate a similarity analysis.

Supermetrics Screenshots

Screenshot of Screenshot of Screenshot of Screenshot of Screenshot of