2021 Kubernetes and Big Data Survey Results

2021 Kubernetes and Big Data Survey Results

Get Up to 3X Price Performance Improvement
with Autonomous Optimization

Pepperdata products simplify the management and monitoring of the big data stack. IT operations teams can maximize the capacity of their existing infrastructure and get real-time visibility into how their big data applications are performing. Developers can get job-specific recommendations and set up alerts to avoid the risk of failure or mission-critical SLAs. The entire enterprise can look forward to a shortened time to production, lower infrastructure costs, and increased ROI.

Cloud

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Data Center

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How Pepperdata Works

Comprehensive Big Data Coverage

Whether you’re in the cloud or data center, or both, big data has a lot of moving parts, overlaps, and sprawling interdependencies. Pepperdata big data products monitor technologies and frameworks including Kafka, Impala, HBase, Hive, MapReduce, Tez, Spark, IBM BigSQL, LLAP, Amazon EMR, and Google Dataproc.

Learn more on the Supported Technology page.

Curve Pattern

Take a Free Thirty-Day Trial to See what Big Data Success Looks Like

Pepperdata products provide complete visibility and automation for your big data environment. Get the observability, automated tuning, recommendations, and alerting you need to efficiently and autonomously optimize big data environments at scale.