Hive low-latency analytical processing

CDP Public Cloud supports low-latency analytical processing (LLAP) of Hive queries. Using LLAP in the CDP Data Warehouse service, you can tune your data warehouse infrastructure, components, and client connection parameters to improve the performance and relevance of business intelligence and other applications.

Increasingly, enterprises want to run SQL workloads that return faster results than batch processing can provide. These enterprises often want data analytics applications to support interactive queries. Low-latency analytical processing (LLAP) can improve the performance of interactive queries. A Hive interactive query that runs on the CDP Public Cloud meets low-latency, variably gauged benchmarks to which Hive LLAP responds in 15 seconds or less. LLAP enables application development and IT infrastructure to run queries that return real-time or near-real-time results.

LLAP caches data for multiple queries and this capability does not support user impersonation.