Pepperdata expanded the capabilities of Query Spotlight, a recent product in its big data performance suite, to support Apache Impala—one of the leading players in interactive SQL query engines.
Query Spotlight makes it easier for operators and developers to understand the detailed performance characteristics of their query workloads together with related infrastructure-wide issues. The product allows query workloads to be tuned, debugged and optimized for better performance and reduced costs in the cloud and on premises. Query Spotlight for Impala displays detailed stats, query plan, breakup of the query duration by every step and also provides visibility into databases and tables. The recommendation engine includes system level recommendations as well as query level recommendations—joins included.
Query Spotlight is deployed and trusted by Fortune 500 companies. Enterprise customers report that queries are a significant portion of their analytics workloads, and the performance of these workloads is critical. Query Spotlight lets IT and applications teams easily identify the most expensive queries and quickly optimize their performance.
Query Spotlight provides a holistic view, enabling visibility between executing queries and the database tables they access. With added support for Impala queries, benefits include:
- Visibility into all your Hive and Impala queries in one place in a similar format
- Recommendations to improve the performance of your queries
- Comparison of query runs with chargeback reports
“Queries are a significant portion of our customer’s big data workloads, so we know the performance of these workloads is critical. IT and applications teams can now get visibility into their Hive and Impala queries in one place, compare the runs of their queries and take advantage of the recommendations Query Spotlight provides,” says Ash Munshi, CEO, Pepperdata. “We’re confident Query Spotlight can increase the performance of their Impala queries while helping them decrease overall costs.”
The product is available now. New query types are forthcoming.
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