The best data analytics software should come with a set of algorithms and applications that amplify its capabilities. With over 120 native algorithms and stunning visualizations, LynxKite effortlessly reveals hidden network properties and detects unknown clusters in otherwise dormant raw data.
Find out how modern graph theory can be used to identify the pattern of communities, behaviours and preferences across billions of nodes. Solve business problems such as demographic estimation, product recommendations, fibre network optimization, fraud detection and more.
LynxKite architecture is built on top of Apache Spark and is scalable up to billions of nodes and edges.
Integrate LynxKite easily with any 3rd party applications using the LynxKite Python APIs.
Native graph algorithms such as PageRank, community, and viral modeling.
A graph analytics engine built on top of Apache Spark. Watch this quick demo to understand the powerful functionalities of LynxKite and how it can benefit your business.
Model data easily in graph structures and run graph-based algorithms to discover communities and explore relationships between connected entities.
Describe complex computation flows visually by creating workflows for data analysts to create efficient workflows for ETL, Machine Learning and visualization.
Wide range of import and export formats such as CSV, JDBC, JSON, ORC, to Hive and Parquet.