To make the most of your SQL skills in big data environments, you need to ensure predictable, high-performance SQL processing in complex Spark, Hadoop, and cloud environments. Unravel provides unprecedented clarity and intelligence for cloud-scale SQL operations, and for SQL queries that complete faster and more predictably.
Unravel provides rich metrics and runtime analytics of SQL operations across the big data stack. From Hive, Spark SQL, Impala, and Hbase, to the new generation SQL engines in the cloud, Unravel provides maximum visibility with the essential context needed to understand how complex SQL queries and applications execute in distributed environments.
SQL intelligence across the full data stack
Instantly observe, understand and optimize SQL behavior
Unravel displays the runtime characteristics of SQL operations in the Spark/Hadoop in an intuitive user interface. SQL teams can quickly drill down to get detailed operational context and AI-powered recommendations from Unravel. Unravel Spark capabilities include:
Deep insights about Hive delivered in plain language
Know exactly what is going on in your Hive metastores, queries and applications
Unravel enables you to work the way you intuitively want to work, with time saving automation and plain language recommendations and insights such as:
Insights into SQL query plans and the tables they work on
Insights into multi-stage, distributed SQL applications and queries
Unravel provides vital intelligence about how SQL queries are planned and executed, as well as how they affect and are affected by the organization of tables and data files. Among the key insights are: