HPE GreenLake Intelligence

Name: HPE GreenLake Intelligence
Brand: Hewlett Packard Enterprise

Leader

Official LinkedIn of Hewlett Packard Enterprise, the global edge-to-cloud company

Est 2008|Valuation $57.6B|Raised $59.1B

LinkedIn 31K|Website|Web traffic 6.2M|FTEs 218|HQ Houston, Texas, US

MarketsInfrastructure Monitoring

01Competitive Landscape

Narrative analysis

- Dell APEX versus GreenLake: Third-party comparisons and vendor statements suggest differences in procurement models and quoting speed in some scenarios; procurement experience can vary by region and channel. - Observability and network automation vendors (for example, Cisco) may present more mature single-domain observability stacks; HPE’s approach targets multi-domain correlation through integrated management planes. - Where competitors may be preferred: organizations seeking rapid, self-serve procurement may favor vendors with streamlined quoting flows; organizations focused on single-domain automation (for example, network-only AIOps) may evaluate specialized vendors with deeper domain maturity.

	HPE GreenLake Intelligence	Dell APEX	ServiceNow ITOM/AIOps
Starting Price	Not publicly listed; quote-based via GreenLake services	Quote-based; some offerings provide clearer procurement flows	Subscription-based, typically enterprise licensing and quote-based
Primary use case	HPE-centric hybrid estates seeking a multi-domain AI-based operations layer integrated with HPE management planes	Dell-centric estates seeking consumption infrastructure and managed services	IT organizations standardizing workflow automation and ITSM/ITOM across multiple vendors
Key strength	Integration across HPE domains and management planes; vendor describes a multi-agent architecture intended to correlate across networking, compute, storage, and observability	Broad portfolio and established as-a-service positioning for infrastructure	Mature workflow and CMDB/ITSM integration; vendor-agnostic posture for ITSM-centric automation
Key weakness	Independent, quantified proof-of-value for Intelligence-specific automation is limited in public materials; effectiveness depends on console reliability and available integrations	Procurement and channel models can influence speed and complexity	Can be costly and complex; requires mature data and CMDB hygiene to deliver strong AIOps outcomes

01Competitive Landscape

Narrative analysis

Dell APEX versus GreenLake: Third-party comparisons and vendor statements suggest differences in procurement models and quoting speed in some scenarios; procurement experience can vary by region and channel.
Observability and network automation vendors (for example, Cisco) may present more mature single-domain observability stacks; HPE’s approach targets multi-domain correlation through integrated management planes.
Where competitors may be preferred: organizations seeking rapid, self-serve procurement may favor vendors with streamlined quoting flows; organizations focused on single-domain automation (for example, network-only AIOps) may evaluate specialized vendors with deeper domain maturity.

	HPE GreenLake Intelligence	Dell APEX	ServiceNow ITOM/AIOps
Starting Price	Not publicly listed; quote-based via GreenLake services	Quote-based; some offerings provide clearer procurement flows	Subscription-based, typically enterprise licensing and quote-based
Primary use case	HPE-centric hybrid estates seeking a multi-domain AI-based operations layer integrated with HPE management planes	Dell-centric estates seeking consumption infrastructure and managed services	IT organizations standardizing workflow automation and ITSM/ITOM across multiple vendors
Key strength	Integration across HPE domains and management planes; vendor describes a multi-agent architecture intended to correlate across networking, compute, storage, and observability	Broad portfolio and established as-a-service positioning for infrastructure	Mature workflow and CMDB/ITSM integration; vendor-agnostic posture for ITSM-centric automation
Key weakness	Independent, quantified proof-of-value for Intelligence-specific automation is limited in public materials; effectiveness depends on console reliability and available integrations	Procurement and channel models can influence speed and complexity	Can be costly and complex; requires mature data and CMDB hygiene to deliver strong AIOps outcomes