Qubole Reveals New Autonomous Data Platform

Qubole, the big data-as-a-service company , is building an autonomous data platform that will include Qubole Data Service (QDS) Community Edition, QDS Enterprise Edition, and QDS Cloud Agents.

The solution can intelligently automate and analyze platform usage to make data teams more effective.

Through the launch of QDS Community Edition, Enterprise Edition and Cloud Agents, Qubole is building an autonomous data platform with intelligent automation to address the difficulty enterprises have in scaling their data teams and initiatives.

The new QDS platform self-manages, self-optimizes and learns by watching platform usage. The architecture analyzes metadata (queries, clusters, users, data, etc.) generated by platform usage and applies machine learning and artificial intelligence to create alerts, insights, recommendations and autonomous agents which perform actions automatically.

“Despite all the promise and technological advancements, operationalizing big data efforts is still impossible for most organizations. Data teams simply can’t scale to meet the growing demand for data across organizations. To address this hurdle, we are on a mission to remove the manual effort that comes with maintaining a big data infrastructure and empower data teams to focus on high-value, strategic work,” said Ashish Thusoo, co-founder and CEO of Qubole. “With the release of Qubole’s autonomous data platform, data teams can optimize cost, performance and reliability by intelligently automating tedious manual data management tasks - helping organizations gain the full value of their data.”

 Features include alerts provide proactive notifications to DataOps and data engineers to identify real-time situations that require immediate attention; insights to provide analytics to data professionals that help illuminate data and platform usage to improve performance, cost efficiency and reliability; and recommendations provide prescriptive actions that data professionals can perform to improve performance, cost efficiency and/or reliability.

 Cloud Agents features will include a workload aware auto-scaling agent, spot shopper agent (AWS only), and data caching agent.

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