Distributed SQL database for resilient, multi-cloud transactional workloads
Cockroach Labs builds CockroachDB, a distributed SQL database written in Go, C++ and Rust, built with Bazel and stress-tested with Chaos Mesh across AWS, GCP and Azure. Its stack lists Oracle, SQL Server, MySQL, Aurora and Cloud Spanner alongside migration pain points, which points to a displacement-driven sales motion. Early MCP adoption and LangChain, OpenAI and Cursor usage suggest a push to position the database for AI workloads.
Cockroach Labs, founded in 2015 and headquartered in New York, develops CockroachDB, a cloud-agnostic distributed SQL database for transactional applications. The product targets enterprises running mission-critical systems that need horizontal scale and resilience to failures. The company employs 501–1,000 people and hires across the United States, Canada, the United Kingdom, India, Singapore and Australia. Hiring is accelerating and centers on engineering and sales, with smaller investment in marketing, product and executive roles.
Cockroach Labs builds with Go, C++, Rust and TypeScript, uses Bazel and Chaos Mesh, runs on AWS, GCP, Azure and Kubernetes, and manages infrastructure with Terraform and Pulumi. Salesforce, Marketo and Datadog are also in use.
Yes. Hiring is accelerating, led by engineering and sales, with roles in the United States, Canada, the UK, India, Singapore and Australia. Most openings are senior or staff level.
Current initiatives include CockroachDB integrations, AI-assisted prospecting, intent-based account research, multi-channel outbound sales and regional sales team development.
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Cockroach Labs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.