Unravel Data partners with Databricks for AI-enhanced data observability solutions
Unravel Data, a pioneer in AI-enabled data observability and FinOps platforms, recently announced its mutuality with the Databricks Partner Program.
This collaboration aims to provide real-time cost, performance insights, and efficiency recommendations for Databricks users, accelerating data and AI products' value and ensuring optimal ROI.
Unravel and Databricks will collaborate on Go-To-Market (GTM) efforts, with Unravel's purpose-built AI for the Lakehouse providing Databricks customers real-time insights.
As businesses are tasked with delivering data and AI innovation rapidly, Unravel's AI integration with Databricks will facilitate swift and efficient delivery of production-ready data pipelines while optimising performance.
With Unravel's purpose-built AI for Databricks, organisations can gain granular visibility into Databricks, optimise performances, and govern data pipelines and application costs seamlessly.
These integrations will streamline data analytics and AI products and accelerate the Lakehouse transformation by giving real-time cost insights, accurate spending predictions, and performance recommendations, maximising cloud data platform investments. It also facilitates proactive governance with Auto Actions and alerts.
Most companies are grappling with managing vast amounts of data drawn from numerous sources, resulting in unpredictable cloud data expenditure.
Commenting on the situation, Kunal Agarwal, CEO and co-founder of Unravel Data, pointed out that rapid Lakehouse adoption and corporations' hyperfocus on AI/ML models for revenue gain and competitive advantage highlight the importance of data observability.
Agarwal further stated, "Lakehouse customers using Unravel can now achieve the agility required for AI/ML innovation while having the predictability and cost governance required to guarantee strong ROI."
Unravel's purpose-built AI for Databricks provides insights at the job, user, and code level, offering AI-driven cost efficiency recommendations such as compute provisioning, query performance, and autoscaling efficiencies.
Another remarkable feature is Unravel's integration with popular DevOps tools such as GitHub and Azure DevOps. This integration enables the detection of issues during the code-merge phase while giving developers real-time insights into their code changes' potential financial impacts, resulting in fewer production issues and improved cost efficiency.
Unravel Data states the company is focused on transforming the way businesses understand and optimise the performance and cost of their modern data applications and the complex data pipelines that power those applications.
A recent winner of the Best Data Tool & Platform of 2023 as part of the annual SIIA CODiE Awards, some of the world's most recognised brands such as Adobe, Maersk, Mastercard, Equifax, and Deutsche Bank rely on Unravel Data to unlock data-driven insights and deliver new innovations to the market.