Companies that use MinIO

Analyzed and validated by Henley Wing Chiu
All โ€บ data warehouse and lakes โ€บ MinIO

MinIO We detected 409 companies using MinIO. The most common industry is IT Services and IT Consulting (17%) and the most common company size is 11-50 employees (39%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We track companies that are self-hosting MinIO

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Company Employees Industry Country Region Usage Start Date
4handy Group source 501โ€“1,000 Food and Beverage Services
Vietnam
Asia
AB InBev APAC source 10,001+ Food and Beverage Services
China
Asia
Accelsiors CRO source 201โ€“500 Biotechnology Research
Switzerland
Europe
Actimai Philippines, Inc. source 11โ€“50 Information Technology & Services
Philippines
Asia
Addispay source 11โ€“50 Financial Services
Ethiopia
Africa
ADEZIO PROVENCE source 11โ€“50 Accounting
France
Europe
afina source 11โ€“50 IT Services and IT Consulting
UAE
Europe
Foco Marketing source 11โ€“50 Advertising Services
Brazil
South America
AgreenCulture source 11โ€“50 Farming
France
Europe
Companhia รguas de Joinville Oficial source 201โ€“500 Utilities
Brazil
South America
Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS) source 51โ€“200 Museums, Historical Sites, and Zoos
Australia
Oceania
AIC Soluรงรตes source 11โ€“50 IT Services and IT Consulting
Brazil
South America
AJARI.AI source 11โ€“50 Technology, Information and Internet
Singapore
Asia
Auto Life Center source 51โ€“200 Vehicle Repair and Maintenance N/A Europe
ALPE source 51โ€“200 Financial Services
Brazil
South America
Amais source 51โ€“200 Financial Services
Brazil
South America
Aniview source 51โ€“200 Technology, Information and Internet
Israel
Europe
ANSSFD BENIN source 11โ€“50 Business Consulting and Services N/A Africa
Aquรกtica Ingenierรญa Civil S.L source 11โ€“50 Civil Engineering
Spain
Europe
Arcnet Desenvolvimento de Software LTDA source 11โ€“50 Strategic Management Services
Brazil
South America
Showing 1-20

Market Insights

๐Ÿข Top Industries

IT Services and IT Consulting 65 (17%)
Software Development 38 (10%)
Technology, Information and Internet 18 (5%)
Financial Services 14 (4%)
Information Technology & Services 14 (4%)

๐Ÿ“ Company Size Distribution

11-50 employees 161 (39%)
51-200 employees 100 (24%)
201-500 employees 62 (15%)
2-10 employees 34 (8%)
501-1,000 employees 26 (6%)

๐Ÿ“Š Who usually uses MinIO and for what use cases?

Source: Analysis of job postings that mention MinIO (using the Bloomberry Jobs API)

Job titles that mention MinIO
i
Job Title
Share
Backend Engineer
19%
DevOps Engineer/SRE
17%
Data Engineer
12%
Storage Engineer
9%
My analysis shows MinIO purchasing decisions are split between engineering leadership and platform teams. Directors of Engineering and Data comprise roughly 7-10% of roles, focused on building scalable storage infrastructure for AI workloads and cloud modernization. These leaders are hiring for strategic initiatives around object storage, data platform architecture, and multi-petabyte systems. Their priorities center on cost optimization, cloud-native infrastructure, and supporting AI/ML pipelines at scale.

Day-to-day MinIO users are predominantly DevOps engineers (17%), backend engineers (19%), and data engineers (12%). These practitioners deploy MinIO alongside Kubernetes clusters, build data ingestion pipelines, manage S3-compatible storage for AI training datasets, and integrate it with streaming platforms like Kafka. I noticed frequent mentions of MinIO appearing in stacks with PostgreSQL, Redis, monitoring tools, and container orchestration platforms, suggesting it serves as the object storage layer in complex distributed systems.

The job postings reveal companies pursuing aggressive scale and cost reduction. One posting seeks someone to "design multi-petabyte AI/ML storage systems" and achieve "30-50% savings through intelligent tiering." Another emphasizes "cost-effective, searchable, and regulatory-compliant storage tiers" for enterprise archiving. A third describes building infrastructure that "powers AI at scale" with "high-performance GPU data centers." These phrases highlight MinIO's role in enabling AI workloads while controlling infrastructure costs and maintaining performance at massive scale.

๐Ÿ‘ฅ What types of companies use MinIO?

Source: Analysis of Linkedin bios of 409 companies that use MinIO

Company Characteristics
i
Trait
Likelihood
Country: Vietnam
36.6x
Country: Indonesia
29.5x
Country: Brazil
24.4x
Industry: Information Technology & Services
12.9x
Industry: IT Services and IT Consulting
7.8x
Industry: Software Development
6.4x
I noticed MinIO's users span an incredibly diverse range of industries, but they share a common thread: they're building or operating technology-intensive systems that handle significant data. These aren't just "tech companies." I see food and beverage operations like AB InBev and Casa de Bolos running at scale, healthcare organizations managing patient data, financial services companies processing transactions, and municipalities digitizing public services. What unites them is that regardless of their primary business, they're all running data-heavy operations that require robust infrastructure.

These companies cluster in the growth and established mid-market segments. The employee counts tell the story: most fall between 50-500 employees, with a sweet spot around -200. I see very few early-stage startups and very few massive enterprises. The funding data is sparse, which suggests these are often bootstrapped or past their venture-dependent phase. They're at the stage where infrastructure decisions really matter because they're handling real volume but don't have unlimited engineering resources.

๐Ÿ”ง What other technologies do MinIO customers also use?

Source: Analysis of tech stacks from 409 companies that use MinIO

Commonly Paired Technologies
i
Technology
Likelihood
694.4x
572.5x
427.2x
134.1x
106.3x
90.1x
I noticed that MinIO users are predominantly infrastructure-focused companies building modern, self-hosted data platforms. The extremely high correlation with Portainer (694.4x) and Rancher (427.2x) tells me these are teams that prioritize container orchestration and want direct control over their infrastructure rather than relying purely on managed cloud services. They're likely running Kubernetes clusters and need scalable object storage that integrates seamlessly with their containerized environments.

The pairing of MinIO with N8N (106.3x more likely) is particularly revealing. N8N is a self-hosted workflow automation tool, which suggests these companies are building custom data pipelines and automation workflows that need reliable object storage. When I see this combined with Grafana for monitoring, it points to companies processing significant data volumes who need to observe their entire stack. The GitLab correlation reinforces this picture: these teams are practicing DevOps, running CI/CD pipelines that likely store artifacts and build outputs in MinIO. LiteLLM appearing in the stack, despite being a small sample, suggests some of these companies are experimenting with AI applications that require substantial storage for model artifacts and training data.

The full stack reveals engineering-led organizations, probably in growth or expansion stages. They're making build-versus-buy decisions that favor open source and self-hosted solutions, which means they have sophisticated technical teams but are likely cost-conscious. These aren't early-stage startups without infrastructure expertise, nor are they enterprise giants locked into AWS or Azure storage. They're technical product companies that value flexibility and cost control.

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