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Data Mechanics

United States, San Francisco

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Data Mechanics is a cloud-native Spark platform for data engineers, offering a developer-friendly, flexible, and cost-effective solution to run optimized Apache Spark workloads on managed Kubernetes clusters in AWS, GCP, or Azure. They focus on making Apache Spark easy-to-use and cost-effective for data engineering workloads, providing automated tuning and integrations with tools like Jupyter and Airflow. The company was acquired by NetApp.

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FOUNDATION
YEAR
2018
EMPLOYEESN/A
AVERAGE AGEN/A