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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...