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%.
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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.
Does Pepperdata have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
NA
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Email Address
info@pepperdata.comContact
1-877-768-4455NiCE Microsoft 365 Management Pack is a management software from NiCE IT Management Solutions GmbH…
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