Virtuoso

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.

Go beyond traditional RF simulation to design, analyze, and verify radio frequency integrated circuits (RFICs). Achieve confidence with steady-state and nonlinear solvers for design and verification. Wireless standard libraries accelerate the validation of complex RFICs. Before taping out an RFIC, verification of IC specifications via RF simulation is a must. Simulations include effects of layout parasitics, complex modulated signals, and digital control circuitry. With PathWave RFIC Design, you can simulate in both the frequency and time domain and bring your designs to and from Cadence Virtuoso. Accurately model components on silicon chips. Optimize designs with sweeps and load-pull analysis. Integrate RF designs in the Cadence Virtuoso environment. Increase performance using Monte Carlo and yield analysis. Simplify debugging with safe operating area warnings. Utilize the latest foundry technology immediately.