Powerful HTML5 based graph visualizations with cytoscape.js library works with every major browser and platform
Graphlytic is powered with the world's leading graph database Neo4J which enables us to give you fantastic performance
With Jobs it's easy to write and schedule your own scripts for importing data, searching patterns (with Cypher) and sending emails
Look for patterns in your data with easy to use layouts, filtering or mapping data to visual properties like color or size
Data analysis don't have to be a lonely job. Collaborate with other users and share your findings or export images and data
Contact us if you are interested in using Graphlytic in specific business cases. We are happy to help you with setup
First step is to import your data into Graphlytic with import job. You can run jobs on demand or schedule them to run automatically, e.g.every night. With jobs you can keep your data up to date, send email notifications when something goes wrong or when job finds preddefined patterns (with Cypher) in data.
Search with fulltext in all data or in preddefined collections of data and find starting points for visualization. Then start new visualization or add nodes and relationships to your existing visualization and you are ready to start looking for answers hidden in relationships.
Visualization is a powerful way to find patterns which can't be seen from a table. You can use different layouts to reveal spatial patterns or you can use style mappings to map data to different visual properties like color, size or shape of nodes and relationships. Filter outliers and get meaningful information as clear as possible.
You can save and reload your visualizations for later use or you can export images and data for use in different applications. Share visualizations with other users and collaborate efficiently on bigger projects.
With Graphlytic, we enabled our customer to work with the configuration database data more efficiently and easier, resulting in faster, smarter decisions and in the involvement of other organizational units to regular use of this data in decision making.
ITIL Expert at MIM, s.r.o.