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Cloudera Integration Overview

Unravel brings AI-powered performance recommendations and troubleshooting insights to Cloudera.

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Unravel complements and extends existing Cloudera tooling

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Unravel works with Cloudera Manager, Workload XM and SDX.

  • Unravel complements Cloudera Manager by providing intelligent automation that can view the entire Cloudera stack and running applications.
  • Unravel complements XM by applying AI/ML to auto-tune Spark workloads and accelerate troubleshooting of performance degradations and failures.
  • Unravel complements SDX security, governance and metadata management capabilities by providing application based cluster discovery.
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Predictive and proactive data operations for large Cloudera clusters

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Achieve Peak Performance for Spark and Hadoop Applications on Cloudera.

  • Instantly understand why Spark, Impala and Kafka applications underperform or fail in Cloudera environments, and then accelerating them with AI-powered auto-tuning.
  • Confidently define, and meet enterprise service levels and create better accounting through detailed reporting and alerting.
  • Develop a data-driven, enterprise grade support capability for your modern data apps running on Cloudera Enterprise Data Hub.
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Instant observability of the full Cloudera stack

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Accelerate Data Operations for Cloudera Environments.

  • Reduce MTTR and ensure optimal cluster/cloud resource usage for the lowest TCO.
  • Eliminate finger-pointing between development and ops teams with verifiable, data-driven reporting for apps and clusters.
  • Real-time intelligence and autonomous tuning your ML, AI, IoT, BI, DW, and ETL pipelines.
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Explore Unravel features

Try our self-guided tours and experience Unravel today.

Self-Guided Tour
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Proud member of the Cloudera Connect partner program.

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Recommended resources

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ACTIONABILITY FOR DATA TEAMS

Empower your data teams with AI agents.

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