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Select companies in the slots below to reveal a useful side-by-side view. You can compare up to four companies and change any selection later.
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| Description | ||||
| Summary | Enterprise intelligent data infrastructure and AI-ready data services for hybrid cloud, storage, governance, and GenAI workloads. | |||
| Description | NetApp provides intelligent data infrastructure, ONTAP storage, cloud data services, and AI Data Engine capabilities for data preparation, governance, security, and GenAI/ML workloads across hybrid environments. | |||
| Positioning | Intelligent data infrastructure for enterprise AI | |||
| Key facts | ||||
| HQ location | San Jose, CA, USA | |||
| Founded | 1992 | |||
| Employee range | 10001+ | |||
| Funding stage | Public | |||
| Company type | Public | |||
| Pricing model | subscription | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | $6.57B FY2025 net revenues | |||
| Valuation estimate | Public market cap varies | |||
| Investments | Public company; pre-IPO venture funding historically | |||
| Relationships | ||||
| Target customers | Large enterprises, AI/ML infrastructure teams, cloud teams, regulated industries, and data platform teams | |||
| Key competitors | Dell EMC, Pure Storage, HPE, IBM Storage, Nutanix, Hitachi Vantara, Cohesity, Rubrik | |||
| Known customers | AWS, Microsoft Azure, Google Cloud and large enterprise customers across finance, healthcare, telecom, and government | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, Analytics & BI | |||
