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Pepperdata

Autonomous Cloud Cost Optimization for Big Data.

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Overview

Pepperdata provides autonomous optimization for big data and analytics workloads. Its platform uses machine learning to observe workload behavior and automatically tunes resource allocation and configuration settings to improve performance and reduce costs. It gives DevOps and Platform teams visibility into their big data stack and helps them meet SLAs while controlling cloud spend.

✨ Key Features

  • Autonomous Big Data Optimization
  • Kubernetes and Hadoop Support
  • Real-time Cost and Performance Visibility
  • Automated Resource Tuning
  • Capacity Planning and Recommendations

🎯 Key Differentiators

  • Deep specialization in big data workloads (Spark, Hadoop)
  • Autonomous, real-time tuning of jobs and infrastructure
  • Support for both traditional Hadoop and Kubernetes environments

Unique Value: Provides autonomous performance and cost optimization specifically tailored for the complexities of big data workloads.

🎯 Use Cases (4)

Reducing costs for Spark, Hadoop, and other big data workloads Improving the performance and reliability of data pipelines Automating tuning and capacity management for big data clusters Migrating big data workloads to Kubernetes

✅ Best For

  • Automatically tuning Spark job configurations for optimal performance
  • Right-sizing nodes in EMR and Dataproc clusters

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • General-purpose web applications or non-big data workloads.

🏆 Alternatives

Granulate Unravel Data Syncsort (now Precisely)

Offers deeper, application-aware optimization for big data frameworks than general-purpose cloud cost tools.

💻 Platforms

Agent-based Web

🔌 Integrations

Amazon EMR Google Dataproc Azure HDInsight Cloudera Kubernetes (Spark on K8s)

🛟 Support Options

  • ✓ Email Support
  • ✓ Phone Support
  • ✓ Dedicated Support (All tiers tier)

🔒 Compliance & Security

✓ GDPR ✓ SSO

💰 Pricing

Contact for pricing

✓ 30-day free trial

Visit Pepperdata Website →