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Unravel Data Raises $50 Million Series D Funding

Unravel Data closed a $50 million Series D round of funding to accelerate the next generation of DataOps observability.

The round was led by Third Point Ventures, with participation from Bridge Bank and existing investors that include Menlo Ventures, Point72 Ventures, GGV Capital, and Harmony Capital, bringing the total amount of funding raised by Unravel Data to $107 million.

Unravel Data will use the investment to extend the Unravel Platform to help connect the dots from every system in the modern data stack within and across the most popular data ecosystems, including Databricks, Snowflake, Amazon EMR, BigQuery, and Dataproc. As the number of systems and data pipelines escalate, an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise is needed.

“The DataOps observability market is poised to explode as enterprises invest in building data products that increase customers, revenue, and efficiencies,” said Curtis McKee, Partner at Third Point Ventures. “We’re excited to partner with Unravel Data, as the company has paved the way and established a proven track record of success helping some of the world’s most recognized brands simplify their data operations so they can bring new data-driven innovations to market.”

“Data engineers and data scientists currently spend more than half their day debugging and troubleshooting issues on the thousands of data pipelines in their environment,” said Kunal Agarwal, CEO of Unravel Data. “Just as the DevOps market united the practice of software development and operations a decade ago to transform the application lifecycle, data teams require the same kind of full-stack visibility, automation, and actionable intelligence that meet their needs around data pipeline performance, cost, and quality.”

Founded by Big Data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data was born from the realization that the exponential growth of data combined with the broad adoption of the public cloud would require an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise. Numerous Fortune 100 companies, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions in the world, rely on Unravel Data to gain unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability. Customers who have deployed Unravel have been able to double productivity of data teams and ensure data applications run on time, while being able to scale cost efficiently on the cloud.

As part of the new funding, Curtis McKee, Partner at Third Point Ventures, will be joining Unravel Data’s Board of Directors.

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Unravel Data Raises $50 Million Series D Funding

Unravel Data closed a $50 million Series D round of funding to accelerate the next generation of DataOps observability.

The round was led by Third Point Ventures, with participation from Bridge Bank and existing investors that include Menlo Ventures, Point72 Ventures, GGV Capital, and Harmony Capital, bringing the total amount of funding raised by Unravel Data to $107 million.

Unravel Data will use the investment to extend the Unravel Platform to help connect the dots from every system in the modern data stack within and across the most popular data ecosystems, including Databricks, Snowflake, Amazon EMR, BigQuery, and Dataproc. As the number of systems and data pipelines escalate, an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise is needed.

“The DataOps observability market is poised to explode as enterprises invest in building data products that increase customers, revenue, and efficiencies,” said Curtis McKee, Partner at Third Point Ventures. “We’re excited to partner with Unravel Data, as the company has paved the way and established a proven track record of success helping some of the world’s most recognized brands simplify their data operations so they can bring new data-driven innovations to market.”

“Data engineers and data scientists currently spend more than half their day debugging and troubleshooting issues on the thousands of data pipelines in their environment,” said Kunal Agarwal, CEO of Unravel Data. “Just as the DevOps market united the practice of software development and operations a decade ago to transform the application lifecycle, data teams require the same kind of full-stack visibility, automation, and actionable intelligence that meet their needs around data pipeline performance, cost, and quality.”

Founded by Big Data pioneers Kunal Agarwal and Dr. Shivnath Babu, Unravel Data was born from the realization that the exponential growth of data combined with the broad adoption of the public cloud would require an entirely new way to manage and optimize the data pipelines that support the real-time analytics ambitions of the data-driven enterprise. Numerous Fortune 100 companies, including two of the top five global pharmaceutical companies and three of the top 10 financial institutions in the world, rely on Unravel Data to gain unprecedented visibility across their data stacks, proactively troubleshoot and optimize their data workloads, and define guardrails to govern costs and improve predictability. Customers who have deployed Unravel have been able to double productivity of data teams and ensure data applications run on time, while being able to scale cost efficiently on the cloud.

As part of the new funding, Curtis McKee, Partner at Third Point Ventures, will be joining Unravel Data’s Board of Directors.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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