Skip to main content

Cribl Raises $200M in Series C Funding

Cribl raised $200 million in new Series C funding led by Greylock and Redpoint Ventures, joined by new investor IVP, existing investors Sequoia and CRV, and with strategic investment from Citi Ventures and Crowdstrike.

This Series C funding brings Cribl’s total funding to $254 million, coming on the heels of sizable deals with large enterprise customers including FINRA, Rivian, and Cox Automotive.

David Wadhwani, Partner at Greylock, says: “Cribl is enabling customers to realize their long term observability strategies by addressing the single biggest pain point: getting control of the massive surface of data”

Data has become a double-edged sword in the enterprise. Exacerbated by the dramatic growth of remote work, security attacks, and heightened privacy and compliance requirements, companies are now collecting and storing such vast amounts of observability data that a new landscape of tech vendors have emerged to solve the myriad challenges that this “big data” created. But many data vendors address problems by locking customers into their own expensive data stacks — creating a long-term cost and complexity for customers.

Cribl is taking an open approach to the flow of data in the enterprise. In its flagship product, LogStream, Cribl has invented an entirely new, vendor-agnostic way to parse and route any type of event data that flows through corporate IT systems. In doing so, Cribl’s LogStream has not only created an observability pipeline that offers unparalleled flexibility and control across IT systems — it gives companies the freedom to choose their own analytics tools and storage destinations from a diverse range of best-of-breed data solutions without fear of vendor lock-in, complementing tools such as Splunk, Datadog, and Exabeam.

“Enterprises today are caught between the mythical ideal of a single pane of glass for all data insights, and the harsh reality that they have to install agents everywhere they want to observe data,” said Clint Sharp, co-founder and CEO of Cribl. “Cribl, our customers, and investors recognize there’s a better way — to create a unified data pipeline, with the same agents across security and operations, that allows enterprises to maximize the value of their existing investments. This isn’t a ‘better’ or ‘faster’ version of what’s in the market — it’s an entirely new, open architecture for observability.”

“Today’s IT and security teams are under siege – and no one is building software catered to them. Cribl is truly unique as they are the only vendor in the market giving those teams both the power and the choice to manage — and enrich — the onslaught of data in a totally agnostic way,” said Scott Raney, Managing Director at Redpoint Ventures. “We hear again and again that their customers are in awe when they use Cribl, which is not feedback we hear very often in this space...”

The Cribl team has a deep heritage building innovative technology at Splunk, and at Cribl the team has invented technology that is the single strategic control point for all data in their enterprise — offering unparalleled flexibility and control over observability data flowing between every system in the enterprise. Its superior purpose-built technology is 7x more efficient at processing event data while using far fewer resources than alternatives, and has helped it win relationships with new global customers such as Whole Foods and Vodafone.

“Organizations engaged in digital transformation initiatives are now faced with managing highly dynamic, but also very complex, distributed environments. It’s no surprise then that the top goal of these digital transformation initiatives is to drive operational efficiencies,” stated Bob Laliberte Sr Analyst with ESG. “These modern cloud-native environments generate more data than ever before, and organizations need solutions like Cribl LogStream to enable them to regain control and streamline the collection and distribution of the right data to the right tools, in a cost effective manner.”

The Latest

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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

Cribl Raises $200M in Series C Funding

Cribl raised $200 million in new Series C funding led by Greylock and Redpoint Ventures, joined by new investor IVP, existing investors Sequoia and CRV, and with strategic investment from Citi Ventures and Crowdstrike.

This Series C funding brings Cribl’s total funding to $254 million, coming on the heels of sizable deals with large enterprise customers including FINRA, Rivian, and Cox Automotive.

David Wadhwani, Partner at Greylock, says: “Cribl is enabling customers to realize their long term observability strategies by addressing the single biggest pain point: getting control of the massive surface of data”

Data has become a double-edged sword in the enterprise. Exacerbated by the dramatic growth of remote work, security attacks, and heightened privacy and compliance requirements, companies are now collecting and storing such vast amounts of observability data that a new landscape of tech vendors have emerged to solve the myriad challenges that this “big data” created. But many data vendors address problems by locking customers into their own expensive data stacks — creating a long-term cost and complexity for customers.

Cribl is taking an open approach to the flow of data in the enterprise. In its flagship product, LogStream, Cribl has invented an entirely new, vendor-agnostic way to parse and route any type of event data that flows through corporate IT systems. In doing so, Cribl’s LogStream has not only created an observability pipeline that offers unparalleled flexibility and control across IT systems — it gives companies the freedom to choose their own analytics tools and storage destinations from a diverse range of best-of-breed data solutions without fear of vendor lock-in, complementing tools such as Splunk, Datadog, and Exabeam.

“Enterprises today are caught between the mythical ideal of a single pane of glass for all data insights, and the harsh reality that they have to install agents everywhere they want to observe data,” said Clint Sharp, co-founder and CEO of Cribl. “Cribl, our customers, and investors recognize there’s a better way — to create a unified data pipeline, with the same agents across security and operations, that allows enterprises to maximize the value of their existing investments. This isn’t a ‘better’ or ‘faster’ version of what’s in the market — it’s an entirely new, open architecture for observability.”

“Today’s IT and security teams are under siege – and no one is building software catered to them. Cribl is truly unique as they are the only vendor in the market giving those teams both the power and the choice to manage — and enrich — the onslaught of data in a totally agnostic way,” said Scott Raney, Managing Director at Redpoint Ventures. “We hear again and again that their customers are in awe when they use Cribl, which is not feedback we hear very often in this space...”

The Cribl team has a deep heritage building innovative technology at Splunk, and at Cribl the team has invented technology that is the single strategic control point for all data in their enterprise — offering unparalleled flexibility and control over observability data flowing between every system in the enterprise. Its superior purpose-built technology is 7x more efficient at processing event data while using far fewer resources than alternatives, and has helped it win relationships with new global customers such as Whole Foods and Vodafone.

“Organizations engaged in digital transformation initiatives are now faced with managing highly dynamic, but also very complex, distributed environments. It’s no surprise then that the top goal of these digital transformation initiatives is to drive operational efficiencies,” stated Bob Laliberte Sr Analyst with ESG. “These modern cloud-native environments generate more data than ever before, and organizations need solutions like Cribl LogStream to enable them to regain control and streamline the collection and distribution of the right data to the right tools, in a cost effective manner.”

The Latest

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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...