Muraena is a B2B contacts database with an AI-powered search for precise lead generation. While offering comprehensive data, including 720M individuals, 120M verified emails, and 10M phone numbers, Muraena aims to stick to simplicity and laser-focused targeting. To cover all modern prospecting needs, Muraena combines diverse sources such as funding information, technographic, and buyer intent signals - all orchestrated by AI to pinpoint the most relevant…
N/A
Pricing
Gephi
Muraena
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Gephi
Muraena
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Gephi is open-source and free to use.
After trial, pricing for the product is determined on a case-by-case basis, tailored to an organization's specific needs and the number of credits required each month. Typically, Muraena's Price Per Lead (PPL) is $0.04.
More Pricing Information
Community Pulse
Gephi
Muraena
Considered Both Products
Gephi
Verified User
Anonymous
Chose Gephi
The interactivity in Gephi and the quality of the output figures are impressive. However, the selling point was the fact that we were able to link Gephi into our pipeline using Java's interface. Other products were less customizable and lacking of the sophistication Gephi …
Compared to vis.js and d3, Gephi has a much better UI and is easier to use for anyone without a strong code background. vis.js and d3 are more flexible in terms of output and are used by Quaero for more of the ongoing reporting where Gephi is used for exploratory analysis and …
There are tools out there that can probably handle much larger datasets, however. Gephi's strength is in its ease-of-use and out-of-the box readiness. Again, there's literally no code writing required to do some pretty powerful things. Being able to open the product and get to …
Gephi is better than NodeXL. More robust and user-friendly, more options for adjusting visualizations. However, Excel is more convenient for most business analyst users and supported in most environments.
R is probably stronger from a statistics, mechanics, and customization stand-point, and has some plug-ins for graph visualization, but it can still be a bit of a black box, whereas Gephi is built around graph visualization, allowing you to really play with the data, even …
I have used RStudio and Rattle for Data Analytics and although RStudio is more powerful for cleaning and mining large sets of data, Rattle is not that efficient in graph visualization where Gephi comes out as a winner.
Muraena
No answer on this topic
Features
Gephi
Muraena
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Gephi
6.7
Ratings
20% below category average
Muraena
-
Ratings
Pixel Perfect reports
4.00 Ratings
00 Ratings
Customizable dashboards
8.00 Ratings
00 Ratings
Report Formatting Templates
8.00 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Gephi
4.3
Ratings
61% below category average
Muraena
-
Ratings
Drill-down analysis
8.00 Ratings
00 Ratings
Formatting capabilities
2.20 Ratings
00 Ratings
Integration with R or other statistical packages
5.00 Ratings
00 Ratings
Report sharing and collaboration
2.00 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Gephi
4.0
Ratings
70% below category average
Muraena
-
Ratings
Publish to Web
2.00 Ratings
00 Ratings
Publish to PDF
8.00 Ratings
00 Ratings
Report Versioning
2.00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
If anyone ever asked me "what mathematical graphing tool should I use", Gephi would be my first answer. At the very least, it's an excellent prototyping tool. I would be wary, however, if someone needed to use the product for large scale production output. It's finicky at times and does require a little "jiggling of the handle" to get things to work, but I'm sure the kinks will be worked out as the product matures
As a final statement, I'd say that Muraena is the go-to tool for validating your sales hypotheses and profiling the market, especially for small teams. Despite being relatively new in this market, they also have your back when you want to go "Advance" mode - Buyer Intent signals and numerous filters will get you relevant leads in seconds.
While Gephi isn't perfect, it's a powerful tool for mathematical graph modelling that's hard to find in other products, particularly by way of its interface. It grants non-software developers access to a point-and-click way of creating accurate, beautiful visualizations that would normally take hours in other applications. The fact that it allows for live streaming data is also something that's hard to come by, at least for visualization software
Gephi is very intuitive and the fact that it shows its process helps the user understand what's going on. However, the animation features can really slow it down and there isn't a way to shut them off. Furthermore, the failures on saving mean you frequently have to start over. These problems disrupt the workflow and can be frustrating.
Compared to vis.js and d3, Gephi has a much better UI and is easier to use for anyone without a strong code background. vis.js and d3 are more flexible in terms of output and are used by Quaero for more of the ongoing reporting where Gephi is used for exploratory analysis and ad hoc requests. We use all three, just for different purposes.
I have only used the product for education purposes. I will not be the best person to provide details about ROI and business efficiency and customer service. I was personally very excited about the tool and am continuing my work on the tool.