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Pepperdata

by Pepperdata · Since 2012
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ActiveAvailable globallyCloud
Quick facts
VendorPepperdata
Year launched2012
StatusActive
Location530 Lakeside Drive #170, Sunnyvale, CA, United States, California
Countries servedGlobal
Languages7
Integrations2+
Free tier
Free trial
Contact salesYES

About Pepperdata

Pepperdata is a performance improvement platform for Apache Spark workloads. It uses automated tuning to reduce cloud instance hours and improve throughput without manual configuration. Benchmarking and reporting show cost savings and performance gains across clusters. Integrations with AWS EMR and EKS support cloud deployment. The platform is designed for data engineering teams that want to run more Spark jobs efficiently while controlling infrastructure costs. Key capabilities: Automated Spark tuning and improvement Cluster efficiency and throughput improvements Cost reduction reporting and benchmarks Cloud support for EMR and EKS Performance monitoring dashboards Best for: Data teams improving Spark workloads.

Pepperdata is a cloud-based software solution designed to optimize the performance and cost of Apache Spark applications, particularly on platforms like Amazon EMR (Elastic Map Reduce) and Amazon EKS (Elastic Kubernetes Service). By focusing on minimizing resource wastage and enhancing application efficiency, Pepperdata aims to help organizations achieve significant cost savings and improve task performance without requiring any modifications to existing application code. The platform leverages intelligent tuning and monitoring to streamline operations and ensure optimal resource utilization. The user interface of Pepperdata features an intuitive dashboard that provides clear visibility into key metrics related to Spark applications, cluster performance, and resource consumption. Users can easily navigate various metrics, including memory, CPU, and I/O, allowing for effective monitoring of Spark jobs. Additionally, the UI is customizable, enabling users to tailor their views according to specific operational needs, thus enhancing their overall experience with the software. Pepperdata’s functionality centers around cost optimization, continuous intelligent tuning, and task performance enhancement. The software automatically identifies and reduces wastage in Spark workloads, leading to substantial cost reductions, typically averaging between 30% and 47%.

Pros & Cons

What users like
  • +High cost savings and efficiency improvements.
  • +User-friendly interface with comprehensive metrics.
  • +Automated optimization reduces manual efforts.
What users flag
  • Pricing details are not publicly available.
  • Initial setup may require some time for effective integration.

Features

Key features

Capacity Optimization
Reduces instance hours and costs by an average of 30-47% for Spark workloads.
Efficiency Improvement
Optimizes Spark clusters to minimize waste, allowing more applications to run without additional costs.
Automated Management
Eliminates the need for manual tuning, freeing developers to focus on strategic tasks.
Benchmarking Reports
Provides benchmarking reports that highlight cost savings and performance improvements.

Additional features

Instance Hour Reduction
Significant reduction in instance hour consumption.
Application Runtime Improvement
Enhanced application runtime leading to faster task completion.
Increased Throughput
Higher average concurrent container count for improved throughput.
Monitoring and Reporting
Comprehensive monitoring and reporting tools for performance analysis.
User Feedback Integration
Incorporates user reviews and feedback for continuous improvement.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
7
Interface languages
11
Billing currencies

Interface languages

EnglishFrenchGermanSpanishItalianJapaneseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇮🇳INRRMB🇨🇭CHF🇸🇪SEK🇳🇿NZD

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