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Unravel Data Secures $35M in Series C Funding

Unravel Data raised $35 million in an oversubscribed Series C funding round.

Point72 Ventures, founded by renowned hedge fund investor Steve Cohen, led the round with participation from Harmony Partners, and existing Unravel investors Menlo Ventures, GGV Capital and M12 (formerly Microsoft Ventures).

“Most industry-leading companies are now software businesses, and a majority of those businesses are running on top of mission-critical big data applications,” said David Dubick, Partner, Point72 Ventures. “These big data tailwinds have created a demand for tools to monitor, optimize and secure these systems, and Unravel is uniquely positioned to address this need in the marketplace.”

“CIOs in our network told us story after story of traditional application monitoring tools failing in a big data context because those tools were designed for the world of the past. And we didn’t just hear this problem from third parties, we were seeing it at Point72 as well,” said Matthew Granade, Chief Market Intelligence Officer at Point72 and Managing Partner of Point72 Ventures. “This new architecture requires a different product, one built from the ground up to focus on the unique challenges posed by big data applications. Unravel is poised to capture this emerging big-data APM market.”

Company Momentum Highlights

Today’s funding news follows a year of significant momentum for Unravel as evidenced by a series of milestones:

- Annual Recurring Revenue (ARR) growth of 500%

- Microsoft Azure Cloud Partner Ecosystem -- Unravel introduced support for Azure services and uses operational data from Azure HDInsight, Spark, Kafka, Hadoop, Hive, and HBase to automatically troubleshoot on-going issues that reduce confidence and performance on customers’ clusters. Unravel also correlates this full-stack data to help in migration to Azure. Unravel is available on the Microsoft Azure Marketplace and is co-sell ready.

- AWS Cloud Partner Ecosystem -- Unravel introduced its platform across the Amazon ecosystem supporting Amazon AWS, Amazon EMR, Cloudera EDH for AWS, Hortonworks Data Cloud on AWS, and MapR CDP on AWS, providing critical operational intelligence. Unravel is an AWS Advanced Partner and is available in the AWS marketplace

- Industry Accolades - Gartner named Unravel Data to its list of “Cool Vendors” for 2018 in Performance Analysis; Analytics and Containers. CRN awarded Unravel as a ‘Top 100 Coolest Cloud Computing Company,’ and Unravel made CNBC’s Upstart 100 list.

“Every business is becoming a data business, and companies are relying on their data applications such as machine learning, IoT, and customer analytics, for better business outcomes using technologies such as Spark, Kafka, and NoSQL,” said Kunal Agarwal, CEO, Unravel Data. “We are making sure that these technologies are easy to operate and are high performing so that businesses can depend on them. We partner with our customers through their data journey and help them successfully run data apps on various systems whether on-premises or in the cloud.”

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Unravel Data Secures $35M in Series C Funding

Unravel Data raised $35 million in an oversubscribed Series C funding round.

Point72 Ventures, founded by renowned hedge fund investor Steve Cohen, led the round with participation from Harmony Partners, and existing Unravel investors Menlo Ventures, GGV Capital and M12 (formerly Microsoft Ventures).

“Most industry-leading companies are now software businesses, and a majority of those businesses are running on top of mission-critical big data applications,” said David Dubick, Partner, Point72 Ventures. “These big data tailwinds have created a demand for tools to monitor, optimize and secure these systems, and Unravel is uniquely positioned to address this need in the marketplace.”

“CIOs in our network told us story after story of traditional application monitoring tools failing in a big data context because those tools were designed for the world of the past. And we didn’t just hear this problem from third parties, we were seeing it at Point72 as well,” said Matthew Granade, Chief Market Intelligence Officer at Point72 and Managing Partner of Point72 Ventures. “This new architecture requires a different product, one built from the ground up to focus on the unique challenges posed by big data applications. Unravel is poised to capture this emerging big-data APM market.”

Company Momentum Highlights

Today’s funding news follows a year of significant momentum for Unravel as evidenced by a series of milestones:

- Annual Recurring Revenue (ARR) growth of 500%

- Microsoft Azure Cloud Partner Ecosystem -- Unravel introduced support for Azure services and uses operational data from Azure HDInsight, Spark, Kafka, Hadoop, Hive, and HBase to automatically troubleshoot on-going issues that reduce confidence and performance on customers’ clusters. Unravel also correlates this full-stack data to help in migration to Azure. Unravel is available on the Microsoft Azure Marketplace and is co-sell ready.

- AWS Cloud Partner Ecosystem -- Unravel introduced its platform across the Amazon ecosystem supporting Amazon AWS, Amazon EMR, Cloudera EDH for AWS, Hortonworks Data Cloud on AWS, and MapR CDP on AWS, providing critical operational intelligence. Unravel is an AWS Advanced Partner and is available in the AWS marketplace

- Industry Accolades - Gartner named Unravel Data to its list of “Cool Vendors” for 2018 in Performance Analysis; Analytics and Containers. CRN awarded Unravel as a ‘Top 100 Coolest Cloud Computing Company,’ and Unravel made CNBC’s Upstart 100 list.

“Every business is becoming a data business, and companies are relying on their data applications such as machine learning, IoT, and customer analytics, for better business outcomes using technologies such as Spark, Kafka, and NoSQL,” said Kunal Agarwal, CEO, Unravel Data. “We are making sure that these technologies are easy to operate and are high performing so that businesses can depend on them. We partner with our customers through their data journey and help them successfully run data apps on various systems whether on-premises or in the cloud.”

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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 ...

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

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...