Companies Cockroach Labs

Cockroach Labs

New York, New York, USA

Total Offices: 3

473 Total Employees

Year Founded: 2015

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Cockroach Labs Company Stability & Growth

Updated on January 29, 2026

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's the stability & growth outlook for Cockroach Labs?

Strengths in distributed SQL positioning, partnership breadth, and visible growth momentum are accompanied by a more limited standing against hyperscalers in the broader cloud DBMS market and potential pricing sensitivities around licensing and TCO. Together, these dynamics suggest a resilient, expanding specialist with solid niche leadership but constrained overall market leadership.

Positive Themes About Cockroach Labs

Strong Market Position & Advantage: Within distributed SQL, the company is consistently shortlisted alongside peers like Spanner and Yugabyte and is included in Gartner’s Cloud DBMS MQ, indicating strength for multi‑region, strongly consistent OLTP. Repeated Customers’ Choice distinctions reinforce durable standing in this subcategory.
Strategic Partnerships: Routes to market expanded via an AWS Strategic Collaboration Agreement, an OEM relationship with IBM, and marketplace availability across AWS, GCP, and Azure. Support for IBM LinuxONE/IBM Z and selection for Google Distributed Cloud broaden regulated and hybrid deployment options.
Strong Revenue Growth: Company updates cite accelerated ARR growth driven by enterprise adoption and deeper usage through 2025–2026. Headcount and office expansion, plus marquee production deployments such as Netflix, align with continued top‑line momentum.

Considerations About Cockroach Labs

Weak Market Position & Pricing Challenges: In the broader cloud DBMS market, leadership is dominated by hyperscalers and large independents, and the company is positioned as a niche player rather than a top Leader. Licensing changes to better monetize larger self‑hosted deployments and the need to model TCO suggest potential pricing sensitivities in some evaluations.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.

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