Graph Commons vs. Neo4j

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
Neo4j
Score 9.8 out of 10
N/A
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
$65
per month
Pricing
Graph CommonsNeo4j
Editions & Modules
Starter
$0
Professional
$15
per month
Organization
$180
per month Starting from 1 Admin + 3 Explorer seats
Aura Professional
$65
per month
Community Edition
Free
Enterprise Edition
Contact Sales
Aura Free
Free
Aura Enterprise
Contact Sales
Offerings
Pricing Offerings
Graph CommonsNeo4j
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Graph CommonsNeo4j
Best Alternatives
Graph CommonsNeo4j
Small Businesses
Supermetrics
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Score 10.0 out of 10
IBM Cloudant
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Score 7.4 out of 10
Medium-sized Companies
Supermetrics
Supermetrics
Score 10.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
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Score 7.6 out of 10
IBM Cloudant
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Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Graph CommonsNeo4j
Likelihood to Recommend
-
(0 ratings)
2.1
(0 ratings)
Usability
-
(0 ratings)
6.0
(0 ratings)
User Testimonials
Graph CommonsNeo4j
Likelihood to Recommend
No answers on this topic
Its very well suited for storing graph types relationship information, such as a group of people and their relationships. Data modeling this sort of information in a traditional SQL database is a pain and inefficient. Using Neo4J allows for efficient modeling of data while providing rich querying capabilities using Cypher. Its also a great fit for any programming language because of its support for REST API. It's less appropriate for any other data structure other than Graph data. So as with any DB, evaluate the data structure and query and if the querying revolves around relationships, then Neo4J is a fit. If there is more need for looking up individual nodes and their associated information, Neo4J might not be the most efficient solution in the market.
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Pros
No answers on this topic
  • When joins are a common in a relational store, switching to Neo4j is better
  • When pattern matching and surfacing interesting insights is the goal, neo4j's cypher is pretty powerful
  • When schema is not completely known beforehand and needs to be evolved with time
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Cons
No answers on this topic
  • It would be nice to have some concept of namespaces, or some way of roughly making a single instance multi-tenant. It'd be nice to make sandboxing easier.
  • Automatic backups could be improved.
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Usability
No answers on this topic
[Based on] Query Language, Performance on small and large data sets, integration and deployment, analysis, API support, Interactive UI.
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Alternatives Considered
No answers on this topic
I have not used anything like Neo4J because of how unique it is in the work that it allows me to do. I am not aware of any other graph database platforms and it might be because it is a growing area (especially in the world of pharmaceuticals). I would be open to trying other softwares though.
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Return on Investment
No answers on this topic
  • For experimentation purposes, it had a positive impact on my company. It was very natural to work with Neo4j and so intuitive to visualize the data.
  • Neo4j community edition is free, which is what we experimented on. So there was no investment up front apart from employee's time. But this quickly gave results and it was time well spent.
  • Neo4j is a cool but very new technology. It was hard to have people onboard, especially some of the leadership and relational folks.
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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.