The End-to-End
The End-to-End
Standardize on a single, unified system for holistic, continuous visibility and actionability around health of your digital operations.
Use real-time, interactive dashboards for visualization and analysis of key operational business metrics, customized for each persona.
Manage planned and unplanned incidents collaboratively with alert workflow management, ML-assisted causal diagnostics, and automated actions.
Explore all your data ad-hoc, joining across streaming and static sources – in real-time and at scale.
Use a no-code visual explorer interface to easily perform event flow and dimensional slice-and-dice analytics.
Leverage the simplicity of SQL, the sophistication of NetScript, and pre-built templates for advanced analytics.
Seamlessly connect to and combine data from any streaming or static data source. No jobs or clusters to manage. Scale to millions of streaming events per second and PB-scale static data.
Get holistic visibility by bringing rich context from business systems to event streams.
Consume insights in-context, within day-to-day operational transaction systems.
Accurately model the complexity of your business through a self-service, no-code modeling workbench.
Easily define business objects and their relationships, metrics, rules, and visualizations through a visual drag-and-drop interface. Natively reflect business objects from your connected data sources.
Leverage a rich library of generic and use case specific templates for composing analyses and applications.
Provide a single consistent store of business entities, metrics, rules, and data sets for all functions.
Catalog objects with organization, ownership, usage, lineage, tagging, and security. Enable collaborative, self-service metadata development with governance.
Manage objects lifecycle with change tracking, versioning and archiving.
Technology
Stream and query processing engine purpose-built for cloud-native event data analytics at scale.
The first truly converged analytical processing engine that brings together streaming, batch and optimized storage, with high performance.
Built on a modern Lakehouse architecture.
Patent-pending framework for performing complex event flow analytics on top of any relational data model.
Specialized computation system for efficient event flow and relational calculations at scale.
Patent-pending new language of analytics providing an abstraction layer over SQL.
Concise expressibility, composability and reusability of advanced analytic constructs.
Be up and running in an hour. Build an application on the NetSpring platform in just a day.