Amazon Neptune vs. Graphlytic vs. Insite Analytics vs. Python Comparison Chart

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.

IT can set up data sources quickly and easily, right from the interface... then get back to their own projects while the business user takes over. See data from all sources in a graph, chart, or table on a single dashboard, all updating in real time. Make informed business decisions based on the most current intelligence in an easily digestible, widely accessible format. To make informed decisions for your business, you need timely, accurate, clear data at your fingertips. Requesting reports through your IT department and combining them manually to draw conclusions is time-consuming and often ineffective. Insite Analytics allows IT to build queries in minutes from any data source. Data from queries can be visualized on the business user's dashboard in whatever way best represents the data.