Supercharge network visualizations - from graph data to business insights
What is Motif?
Tableau meets graph data
Motif is a graph intelligence software that translates graph data into business insights, speeding up data exploration, analysis and collaboration across teams
Why customers choose us?
1) Easily represent time-series or relational data
2) Integration with their favourite graph database solution and data science tools
3) Cut down the development time of a network visualisation solution by 6 months
Accelerate Visual Discovery with Motif
Features and Capabilities
Easy Data Import
Drag and drop csv
Graph database connectors (coming soon!)
Easily extensible with custom API endpoints
Multiple Layout Options
Good default? force directed layout
Ordered data? sequential layout
Tree structure? radial layout
Comprehensive Styling Options
Map node property to legend
Size nodes based on number of connections (degree)
Configure node and edge labels
First class time series support
Soft or hard filters for investigations
Play back time series activities
Share and Collaborate
Collaborate across teams
Create view only copy
Share the results, not the access permissions
What is Motif?
Motif is a no-code graph intelligence software that translates connected data into business insights. It allows businesses to connect the dots between different data points and helps users speed up data exploration, analysis and collaboration.
How is Motif different from Neo4J, CosmosDB, ArangoDB or other graph databases?
Graph databases take care of storage, processing and analysis. Motif is a graph intelligence software to make graph data into business intelligence so that your team can make better data driven decisions. Motif is to graph databases as Tableau or Power BI is to relational databases.
How is Motif different from D3, Sigma.js, Keylines or other visualization toolkit?
How is Motif different from Networkx, Igraph, SNAP or other graph analytics libraries?
These libraries offer a wide range of algorithms to make it simple for Data Scientists to tackle problems such as viral spreading or identifying influential customers. Motif complements such libraries and cuts down the time needed to convert these insights into graph visualisations and allows data science teams to share graph their findings across different business teams.
What's your motivation in developing Motif?
We hope to lower the barriers to entry for anyone working on graph-related problems. One of the main pain points we faced is that it takes too much effort to integrate graph data into business decision making in areas like finance and fraud detection. Most solutions are often custom-built, proprietary, time-consuming and expensive. With Motif we are changing this by making 80% of the most common network visualisation use cases as easy as possible, and add on collaborative features to make graph data into business intelligence.
Can you support Jupyter Notebook Integration / Neo4j / AWS S3 etc.
Sure, we plan to support integration with notebooks, neo4j and your favourite tools. This will be rolled out through the months. Let us know what you are looking to integrate with through our contact form to help us prioritise development. Thanks!
I am interested! When is it expected to be launch?
We are currently piloting Motif at a few financial institutions and are looking to release it as a open source project with a SaaS offering. Public release estimated at the end of Q1 2021. Sign up at out early registration list to be first in the know and receive a special offer ;). If you are an enterprise customer looking for such a solution, contact us to join the pilot program.
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