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Unravel Data offers an AI-driven data observability and FinOps platform for modern data stacks, including Databricks, Snowflake, and BigQuery. It optimizes performance and reduces costs through cloud cost management, troubleshooting, and data pipeline optimization. Leveraging AI and automation, the platform proactively detects and resolves data issues, ensuring efficient, reliable workloads.
Co-founded in 2013 by Kunal Agarwal and Dr. Shivnath Babu, Unravel Data emerged from recognizing big data's complexity. Agarwal, with an enterprise background, and Babu, a data systems expert, saw the critical need for unified visibility and automated optimization across fragmented data ecosystems.
The platform serves data teams aiming for improved efficiency and reliability. Unravel Data’s mission is to empower these teams, shifting focus from reactive troubleshooting to strategic innovation. The company envisions autonomously managed, optimized data platforms, consistently delivering high-quality, cost-effective, and performant insights.
Unravel Data has raised $107.0M across 4 funding rounds.
Unravel Data has raised $107.0M in total across 4 funding rounds.
# Unravel Data: DataOps Observability Pioneer
Unravel Data is a DataOps observability platform that enables enterprises to optimize the cost and performance of their modern data operations.[1] Founded in 2016 and headquartered in Mountain View, California, the company provides full-stack visibility and AI-powered automation across complex data environments, helping Fortune 1000 companies reduce debugging time, accelerate pipeline performance, and control cloud spending.[2][5]
The company serves data-driven enterprises managing intricate data stacks built on platforms like Databricks, Snowflake, and Google BigQuery.[2] Unravel's core value proposition addresses a critical pain point: data engineers and scientists currently spend more than half their day debugging and troubleshooting issues across thousands of data pipelines.[5] By automating root cause analysis and providing actionable recommendations, Unravel transforms reactive firefighting into proactive optimization, enabling teams to double their productivity while ensuring applications meet SLAs.[5]
Unravel Data was founded by Kunal Agarwal and Dr. Shivnath Babu, both recognized as Big Data pioneers.[5] The company emerged from a fundamental insight: the exponential growth of data combined with broad public cloud adoption would require an entirely new approach to managing and optimizing data pipelines that support real-time analytics.[5]
The founding team recognized that just as DevOps unified software development and operations a decade earlier, data teams needed equivalent full-stack visibility, automation, and intelligence to manage performance, cost, and quality across modern data infrastructure.[5] This vision resonated quickly with enterprise customers—the company rapidly attracted Fortune 100 clients, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions.[5] By 2022, Unravel had raised $50 million in Series D funding, backed by premier investors including Menlo Ventures, GGV Capital, Harmony Partners, M12, Point72 Ventures, and Data Elite Ventures.[2][5]
Unravel's competitive advantages center on its AI-native architecture and comprehensive observability approach:
Unravel operates at the intersection of three powerful trends reshaping enterprise technology:
The DataOps movement: Just as DevOps transformed software delivery by unifying development and operations, DataOps is consolidating data pipeline management, governance, and optimization into a unified discipline. Unravel is positioned as a foundational platform for this shift.[5]
Cloud cost optimization urgency: As enterprises migrate complex workloads to Databricks, Snowflake, and BigQuery, cloud spending has become a critical operational concern. Unravel's FinOps capabilities directly address this pain point, helping organizations maintain cost discipline while scaling analytics.[2][6]
AI-driven observability: The industry is moving beyond passive monitoring toward intelligent, automated systems that not only detect problems but recommend and implement solutions. Unravel's AI-native approach positions it ahead of traditional observability vendors.[4]
The company's recognition on CRN's 2025 Cloud Big Data 100 list validates its influence in shaping how enterprises extract value from data assets while managing governance, scalability, and cost challenges.[2]
Unravel Data is well-positioned to capture significant market share as enterprises increasingly recognize that modern data infrastructure requires specialized observability and optimization tools. The convergence of cloud adoption, rising FinOps awareness, and AI-driven automation creates a favorable tailwind for the company's growth.
Looking ahead, Unravel's trajectory will likely be shaped by:
The company's founding insight—that data teams need the same operational rigor that DevOps brought to software engineering—remains as relevant today as in 2016. As data becomes increasingly central to competitive advantage, platforms that help organizations operationalize their data stacks will become indispensable infrastructure.
Unravel Data has raised $107.0M across 4 funding rounds. Most recently, it raised $50.0M Series D in September 2022.
Unravel Data has raised $107.0M in total across 4 funding rounds.
Unravel Data's investors include Third Point Ventures, AngelPad, Chalfen Ventures, Tom Hulme, Menlo Ventures, Meritech Capital Partners, Norwest Venture Partners, Glenn Solomon, Notable Capital, Sherpalo Ventures, True Ventures, Uncork Capital.
