Spark enables rapid innovation and high performance in your applications and Unravel makes Spark perform better and more reliably. Unravel provides deep insights and intelligence into the Spark runtime environment, and helps your team keep your data pipelines production-ready – and keep your applications running at optimal levels.
Unravel for Spark provides a comprehensive full-stack, intelligent, and automated approach to Spark operations and application performance management across the big data architecture. The Unravel platform helps you to analyze, optimize, and troubleshoot Spark applications and pipelines in a seamless, intuitive user experience.
Running Spark with clarity and KPIs
Instantly observe and understand Spark behavior
Unravel displays the inner workings of the Spark environment as well as running applications and data pipelines in an intuitive user interface. Data teams can quickly drill down to get detailed operational context and AI-powered recommendations from nravel. Unravel Spark insights include:
Intuitive Spark tuning and troubleshooting
Unravel provides drill down views, workflows, and insights into Spark jobs and pipelines
Unravel enables you to work the way you intuitively want to work, with time saving automation and drill down workflows that include helpful metrics and insights:
Optimal Spark pipelines through metrics and context
AI-driven intelligence engine provides insights, recommendations, alerts, and actions
Unravel uses AI, ML and other advanced analytics to provide insights, recommendations and auto-tuning for Spark applications and pipelines. This enables: