GraphPolaris enables the valorization of knowledge stored in graph databases. We empower commercial users and researchers without a dedicated data science background to accomplish complex analytical tasks on (knowledge) graphs. Graph analytics finally explainable and trustworthy.
open science
We are strong believers in the open science movement and giving back to the public that has made our research innovations possible. At GraphPolaris, we are committed to open data and open source and ask our community to contribute to this effort actively.
We also see that successfull open source projects can flourish with a strong commercial counterpart to back up the maintainance and development costs (examples here are Neo4j, MySQL, Redis, or Cassandra). We envision and actively support this strong collaboration between the open source community and the commercial user community. That is why GraphPolaris follows the successfulopen-core model giving commercial entities the ability to engage in this project through commercial licences, domain-specific customizations, on-premise hosting, and many more.
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DISCOVER
GraphPolaris is a Visual Analytics system that unites the strengths of human and data processing. Our system allows the user to understand, freely explore, and creatively steer the automatic data analysis process. Our easy-to-use interface and result visualizations allow users to accomplish astonishingly complex analytical tasks by perceiving and interacting with domain- and task-specific visual patterns.
Our innovative Graph Schema Visualization depicts the query possibilities, graph relationships, and data quality. This view is unique in the graph analytics world, as it focuses on what is doable with the data (task-level), rather than overwhelming the user with the raw data from the beginning without an idea where to start.
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Graph Data analysts, scientists, and crucially business managers need an effective communication channel to elaborate and justify their findings and executive decision-making process. The visualization domain presents a range of innovative solutions to make graph analysis understandable and our unique expertise allows us to benefit from these success stories. Unlike the rest of the market that uses only ineffective and clutter-prune node-link diagrams, we feature significantly more effective and efficient visualizations.
Learn moreOur innovative Graph Schema Visualization depicts the query possibilities, graph relationships, and data quality. This view is unique in the graph analytics world, as it focuses on what is doable with the data (task-level), rather than overwhelming the user with the raw data from the beginning without an idea where to start.
Learn moreOur innovative Query Definition Interface for editing and connecting of query (sub-)components works hand in hand with the Graph Schema Visualization and focusses on how to ask a specific data analysis question. Via a simple drag-and-drop it receives entities and relationships from the schema view and allows to connect, filter, nest, or transform (AVG, SUM, COUNT, SHORTESTPATH) subqueries.
Learn moreGraphPolaris’ backend can harvest cloud-based resources to blend AI into the visual exploration process: Queries either explicitly or implicitly invoke (graph) machine learning algorithms (e.g., traversal, community detection, or centrality algorithm) and deliver visualization results or contribute exploration suggestions.
Learn moreGraph Data analysts, scientists, and crucially business managers need an effective communication channel to elaborate and justify their findings and executive decision-making process. The visualization domain presents a range of innovative solutions to make graph analysis understandable and our unique expertise allows us to benefit from these success stories. Unlike the rest of the market that uses only ineffective and clutter-prune node-link diagrams, we feature significantly more effective and efficient visualizations.
Learn moreGraphPolaris has many usecases, from fraud detection to supply chain exploration. GraphPolaris is neither use case, domain, nor vendor-agnostic and we are here to help you with your data analysis problem.
How can we help? GraphPolaris is neither use case, domain, nor vendor-agnostic and we are here to help you with your (not only graph) data analysis problem. Get in touch with us under info@graphpolaris.com!
Learn moreOur Graph Databases easily capture activity networks, discern normal from fraudulent behavior and trace fraud patterns even through complex financial traffic networks.
Learn moreGraphPolaris supports social network analysis. Applied in the context of advertisement, our system allows to make marketing campaigns (measurably) more effective.
Learn moreGraphPolaris’ innovative features allow to better analyze problem root causes, communicate efficiency improvements, and anticipate problems before they arise.
Learn moreHow can we help? GraphPolaris is neither use case, domain, nor vendor-agnostic and we are here to help you with your (not only graph) data analysis problem. Get in touch with us under info@graphpolaris.com!
Learn moreSee it in action
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info@graphpolaris.com
Keep up to speed with GraphPolaris by reading our latest blog posts. Here you will find information on our latest success stories, grants and funding, new products and general news.
- March 2022
We have received the Google for Startups Cloud Program grant worth $100K USD. We thank our funding partner Google!
- July 2021
Our first MVP is ready and allows to explore Neo4j and Arangodb graph databases!
See it in action!
- September 2021
Together with a team of 11 developers we are currently extending our MVP into a beta product!
- July 2021
Three new team members are contributing with their frontend, backend and business development abilities.
- March 2021
GraphPolaris has completed UtrechtInc's Startup Incubator validation program for science-based startups.
