Unstructured data management and distributed file system for hybrid cloud
Panzura operates a data management platform built on distributed storage infrastructure (NFS, CIFS, NVMe-OF, Fibre Channel, RDMA, ZFS) paired with cloud integrations (AWS, Azure, GCP, Wasabi). The engineering focus on kernel/userspace data-path performance and petabyte-scale file I/O — combined with projects around advanced storage features and distributed systems — suggests a company solving for enterprises managing massive unstructured data footprints across on-premises and cloud. Sales-led hiring (3 of 5 active roles) reflects a push into Fortune 1000 accounts.
Panzura provides data management and orchestration software for enterprises handling large unstructured data repositories across hybrid cloud environments. The platform integrates with AWS, Azure, and GCP while supporting on-premises storage via NFS, CIFS, and Fibre Channel connectivity. Core capabilities span data visibility, governance, disaster recovery, and NAS consolidation, targeting organizations seeking a unified control plane for distributed file storage. Founded in 2020 and based in San Francisco, the company operates with 51–200 employees and is currently hiring for sales expansion and backend engineering roles across the United States and India.
Panzura's stack spans storage protocols (NFS, CIFS, iSCSI, NVMe-OF, Fibre Channel, RDMA, ZFS), cloud platforms (AWS, Azure, GCP), orchestration (Kubernetes, Ansible, Terraform), backend languages (C++, Go, Java, Python), and observability tools (traceroute, netstat, tcpdump).
Panzura is headquartered in San Francisco, California. The company was founded in 2020 and is privately held with 51–200 employees.
Panzura'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.