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AI visibility report

Mirantis ranks #5 in Containers & Orchestration AI search.

Outside the top three on 14 of the 25 prompts buyers actually ask.

Portainer is cited on 9 of those losses.

25 prompts
6 platforms
Updated Jul 15, 2026 - refreshed weekly
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5percent
Presence Rate
Low presence

#5 among 9 vendors · still absent from 94.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.15
Sentiment
-1.00.0+1.0
Neutral
#5of 9

Peer Ranking

#1#9
Mid-packin Containers & Orchestration

Key Metrics

Presence Rate5.3%
Share of Voice12.5%
Avg Position#29.1
Docs Presence0.7%
Blog Presence4.0%
Brand Mentions5.3%

Platform Breakdown

Grok
20%5/25 prompts
Perplexity
8%2/25 prompts
Google AI Mode
4%1/25 prompts
ChatGPT
0%0/25 prompts
Gemini Search
0%0/25 prompts
Bing Copilot
0%0/25 prompts

How to read this. Mirantis appears in 5.3% of tracked prompt responses and ranks #5 among 9 vendors. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.

Where Mirantis is losing

Prompts where competitors are visible and Mirantis is not.

These prompt-level losses are the first prompts to track and repair.

Where Mirantis is winning2

  • Which container orchestration management platforms simplify initial cluster configuration most for teams new to running containers at scale?

    Avg # 1.0 · 1 platform

  • Which service mesh tools handle inter-service communication security and observability best at scale in a container orchestration environment?

    Avg # 23.0 · 1 platform

Where Mirantis is losing5

  • Which container orchestration platforms give non-platform engineers production visibility without needing to learn kubectl?

    Competitors on 5 platforms

    Track this prompt
  • What tools make it fastest to get a multi-service application running in containers locally without heavy compose tooling complexity?

    Competitors on 4 platforms

    Track this prompt
  • What container management platforms best address the day-to-day pain points engineers face with container orchestration?

    Competitors on 3 platforms

    Track this prompt
  • Which container orchestration platforms handle node failures most gracefully without causing service downtime?

    Competitors on 3 platforms

    Track this prompt
  • What tools and techniques have the biggest impact on container image size and startup time for faster deploys at scale?

    Competitors on 2 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Mirantis is a Campbell, California-based B2B open-source cloud computing software and services company founded in 1999. Originally an OpenStack specialist, the company pivoted to Kubernetes-native infrastructure and acquired Docker Enterprise in 2019, rebranding it as Mirantis Kubernetes Engine (MKE). Today, Mirantis offers a portfolio spanning enterprise Kubernetes management (MKE, k0rdent Enterprise), AI infrastructure (k0rdent AI), private cloud (OpenStack for Kubernetes), container runtime, secure registry, and the Lens Desktop IDE. The company serves enterprises across financial services, government, healthcare, manufacturing, and telecom—including one-third of the Fortune 100—and has been recognized as a Challenger in the 2025 Gartner Magic Quadrant for Container Management and a Leader in the Omdia Universe: Container Management Products, 2024–25.

Mirantis delivers a full-stack container and AI infrastructure platform anchored by the k0rdent platform family. k0rdent AI provides Metal-to-Model GPU cloud provisioning for neoclouds and enterprise AI factories. k0rdent Enterprise offers GitOps-driven multi-cluster Kubernetes management across data centers, public clouds, and edge. Mirantis Kubernetes Engine (formerly Docker Enterprise) is the commercial enterprise Kubernetes platform supporting both Kubernetes and Docker Swarm. Additional products include Mirantis OpenStack for Kubernetes (containerized private cloud IaaS), Mirantis Container Runtime, Mirantis Secure Registry, Lens Desktop (IDE for Kubernetes developers), and open-source projects k0s, k0smotron, and k0rdent.

Key Facts

Founded
1999
HQ
Campbell, California, USA
Founders
Alex Freedland, Boris Renski, Adrian Ionel
Employees
500-1000
Funding
~$220M
Customers
50,000+ organizations (products); 1/3 of
Status
Private

Target users

Platform engineers and SREs managing multi-cluster Kubernetes at enterprise scaleEnterprise IT operations teams in regulated industries (finance, government, healthcare)Neocloud operators and GPU cloud builders monetizing AI infrastructureDevSecOps teams requiring FIPS 140-2 and DISA STIG complianceApplication modernization teams migrating from VMs to containersKubernetes developers using Lens Desktop for cluster productivity

Key Capabilities10

  • Multi-cluster Kubernetes lifecycle management (deploy, upgrade, scale) via k0rdent and MKE
  • GPU/AI infrastructure provisioning with Metal-to-Model automation (k0rdent AI)
  • OpenStack private cloud containerized on Kubernetes (Mirantis OpenStack for Kubernetes)
  • Enterprise container runtime and private secure registry (MCR, MSR)
  • GitOps-driven declarative automation with continuous drift correction
  • FIPS 140-2 and DISA STIG compliance for regulated and government workloads
  • Hybrid, multicloud, and edge cluster management from a single control plane
  • Converged VM and container workloads on a single platform (KubeVirt integration)
  • Open-source Kubernetes distributions (k0s, k0smotron, k0rdent) with enterprise-grade SLAs
  • Lens Desktop IDE for developer Kubernetes productivity (1.5M+ users)

Key Use Cases8

  • Enterprise Kubernetes management at scale across on-premises, hybrid, and multicloud environments
  • AI/ML infrastructure provisioning, GPU monetization, and neocloud buildout
  • Private cloud deployment and lifecycle management (OpenStack on Kubernetes)
  • Application modernization: migrating VM-based workloads to containers
  • Regulated-industry container platforms requiring FIPS 140-2, DISA STIG, and air-gap support
  • Internal Developer Platform (IDP) engineering for platform teams
  • Workload migration away from proprietary virtualization (VMware alternatives)
  • Sovereign and government AI factory deployments

Mirantis customer outcomes

PayPal

50% productivity increase in building, testing, and deploying applications

Migrated 700+ applications to Docker Enterprise (now MKE), running over 200,000 containers across multiple clouds, consolidating 15 years of legacy toolsets into a consistent operating model.

Recent Trend

Visibility-3.2 pts
Avg position-0.24
Sentiment-0.17

How AI describes Mirantis3

Lens (by Mirantis): The Developer's K8s IDE Lens doesn't replace your orchestrator; it sits on your desktop as an interactive control room for whatever Kubernetes cluster you are currently connected to.

What container management platforms best address the day-to-day pain points engineers face with container orchestration?

google-aiDirect Mirantis mention
...ernetes Service + Azure Arc | Excellent | Microsoft ecosystem integration | | SUSE Rancher Prime | Excellent | Centralized management across clouds | | Mirantis Kubernetes Engine | Good | Organizations with legacy Docker Enterprise deployments | ### 1\.

Which container orchestration platforms support hybrid cloud deployments by integrating with existing on-premise infrastructure?

chatgpt-searchDirect Mirantis mention
...roup upgrades | AWS | | Azure Kubernetes Service | Yes | Surge upgrades and rolling node replacement | Microsoft Azure | | Mirantis Kubernetes Engine | Yes | Sequential node maintenance with workload rescheduling | Private cloud | ### Platforms with par...

Which enterprise container orchestration platforms handle cluster upgrades without service disruptions in production?

chatgpt-searchDirect Mirantis mention

Alternatives in Containers & Orchestration6

Mirantis positions itself as the only independent, vendor-neutral enterprise container management company—not owned by a public cloud hyperscaler, Linux distributor, or hardware vendor.

  • Its core differentiation is a unified 'Metal-to-Model' platform that spans bare-metal provisioning through GPU-accelerated AI workloads, underpinned by a 100% open-source stack (k0s, k0rdent, k0smotron) to prevent proprietary lock-in.
  • Against Red Hat OpenShift and SUSE Rancher, Mirantis emphasizes no tied Linux distribution and superior compliance posture (FIPS 140-2, DISA STIG).
  • Against public cloud Kubernetes offerings, it stresses cloud-agnostic portability and on-premises/edge/air-gap support.
  • Its 2025 pivot to AI infrastructure (k0rdent AI, NVIDIA foundational ISV partnership) extends positioning into the neocloud and enterprise AI factory market.
View category comparison hub

Reviews

Praised

  • Single pane of glass for multi-cluster management
  • Kubernetes and Docker Swarm side-by-side flexibility
  • Responsive and knowledgeable customer support
  • Strong built-in security and compliance (FIPS, DISA STIG, RBAC)
  • Open-source foundation with no vendor lock-in
  • Easy cluster setup and streamlined upgrades
  • Mixed-mode (Swarm + K8s) simplicity for container adoption

Criticized

  • Very expensive enterprise licensing
  • No pay-as-you-go or on-premises autoscaling for MKE
  • Some internal operations feel like a 'black box'
  • Documentation gaps on platform internals
  • Historical stability issues (largely resolved in recent releases)
  • Heavy support load reported in some periods

Mirantis holds a 4.4/5 rating across 292 verified G2 reviews. Users consistently praise the single-pane-of-glass multi-cluster management, the flexibility of running Kubernetes and Docker Swarm side-by-side, responsive support, and strong built-in security and compliance features. The product has been recognized as a G2 Container Orchestration Leader in multiple report cycles. Critical feedback centers on high enterprise licensing costs, occasional documentation gaps on internal mechanics, past (now largely resolved) stability issues in earlier MKE versions, and the absence of pay-as-you-go licensing or on-premises cluster autoscaling.

Pricing

Mirantis operates a commercial software-plus-services model. The open-source k0rdent platform and k0s Kubernetes distribution are free and publicly available. The k0rdent AI Starter Pack (up to 144 NVIDIA Blackwell/Hopper GPUs) is free for 30 days, then starts at $25,000/month on a 6-month minimum term. MKE, k0rdent Enterprise, Mirantis OpenStack for Kubernetes, and managed/professional services are priced via enterprise negotiation (contact sales); no public per-node or per-cluster pricing is published. Reviewers characterize MKE licensing as 'very expensive.' A Mirantis webstore exists for direct software purchases.

Limitations

  • Enterprise licensing is widely noted as expensive, with no pay-as-you-go model for MKE; on-premises cluster autoscaler is not supported.
  • Some reviewers have cited past stability issues and heavy support loads.
  • Certain internal platform operations are described as 'black box' with limited searchable documentation on internals. k0rdent AI Starter Pack is capped at 144 GPUs and requires a 6-month term commitment at a minimum of $25,000/month.
  • Ampere (A100) GPU architecture is not supported in the Starter Pack.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability2/5DevEx1/5Integrations &Ecosystem1/5Performance &Reliability1/5Setup & First Run2/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGoogle AI ModePerplexityChatGPTGemini SearchBing CopilotGrok
Capability2/5 cited (40%)

Which service mesh tools handle inter-service communication security and observability best at scale in a container orchestration environment?

Which container orchestration backup and disaster recovery platforms handle restoring both cluster state and persistent volume data after a failure?

What are the best tools for managing stateful workloads like databases in a container orchestration cluster?

Which container orchestration platforms handle mixed workloads — long-running services, batch jobs, and scheduled tasks — in the same cluster?

Which container orchestration platforms offer the best multi-tenancy and resource isolation between teams or customers?

Developer Experience1/5 cited (20%)

What tools improve the inner development loop for engineers working on microservices inside containers?

Which container orchestration platforms give non-platform engineers production visibility without needing to learn kubectl?

What container management platforms best address the day-to-day pain points engineers face with container orchestration?

What tools let developers run and debug services inside a container orchestration cluster locally versus a remote dev cluster?

Which container registry platforms handle image pull performance best for large teams doing frequent deploys?

Integrations & Ecosystem1/5 cited (20%)

What container security scanning tools integrate best into the image build and registry push pipeline before workloads reach the cluster?

Which container orchestration platforms integrate best with major cloud provider networking and load balancer services?

Which tools integrate container orchestration platforms with GitOps workflows for declarative continuous deployment?

Which container orchestration platforms support hybrid cloud deployments by integrating with existing on-premise infrastructure?

Which secrets management tools integrate most smoothly with container orchestration platforms for handling sensitive configuration?

Performance & Reliability1/5 cited (20%)

Which enterprise container orchestration platforms handle cluster upgrades without service disruptions in production?

Which service mesh solutions have the lowest overhead per pod for a high-throughput microservices architecture?

What tools and techniques have the biggest impact on container image size and startup time for faster deploys at scale?

Which container orchestration platforms manage resource autoscaling best for workloads with spiky or unpredictable traffic patterns?

Which container orchestration platforms handle node failures most gracefully without causing service downtime?

Setup & First Run2/5 cited (40%)

What tools make it fastest to get a multi-service application running in containers locally without heavy compose tooling complexity?

I'm evaluating managed container orchestration services versus self-hosted platforms for a startup — what are the main options?

Which container orchestration management platforms simplify initial cluster configuration most for teams new to running containers at scale?

What are the easiest container orchestration platforms to set up for teams without dedicated platform engineers?

What tools support migrating a VM-based deployment to containers without rewriting the entire application?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Portainer25.3%41.7%0.7%25.3%10.0%#9.4+0.36
2Kubernetes10.7%12.5%0.0%1.3%95.3%#14.8+0.27
3HashiCorp8.0%13.9%6.0%0.7%32.7%#15.8+0.35
4Docker8.0%17.4%4.0%3.3%52.0%#24.1+0.28
5Mirantis5.3%12.5%0.7%4.0%5.3%#29.1+0.15
6Rancher0.7%1.4%0.7%0.0%29.3%#26.0+0.10
7Garden0.7%0.7%0.7%0.0%2.0%#30.0+0.00
8Okteto0.0%0.0%0.0%0.0%4.7%
9Red Hat OpenShift0.0%0.0%0.0%0.0%26.7%

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