MinIO
High-performance S3-compatible object storage for AI and analytics.
Company facts
- Founded
- 2014
- Employees
- 205
- Headquarters
- United States
- CEO
- Anand Babu Periasamy, Garima Kapoor
- Type
- Private
- Funding
- Series B · $103M · 2022
About
Our customers often grapple with the challenge of managing and accessing massive amounts of unstructured data efficiently and cost-effectively. In a world increasingly driven by AI, machine learning, and big data analytics, the ability to store, retrieve, and process vast datasets is paramount. Traditional storage solutions often fall short, proving too expensive, inflexible, or unable to handle the performance demands of modern workloads. This is why we developed MinIO, a high-performance, Kubernetes-native object storage solution. We empower our customers to build their own cloud storage infrastructure, giving them control over their data and enabling them to run demanding applications seamlessly across public, private, and edge environments. MinIO is designed to address the escalating demands of unstructured data growth, offering an S3-compatible platform that allows developers to store everything from photos and videos to log files and container images. Our customers face the need for a storage solution that is not only scalable and resilient but also deeply integrated with the cloud-native ecosystem. MinIO meets this need by being software-defined and optimized for multi-cloud environments, running on any cloud or on-premises infrastructure. We understand that for AI and machine learning workloads, performance is critical. MinIO delivers exceptional read/write speeds, enabling organizations to accelerate their AI/ML pipelines and analytics. Furthermore, as data becomes the lifeblood of every organization, our customers require robust data protection, security, and lifecycle management features, all of which are integral to the MinIO platform. By providing a unified, high-performance object storage solution, we help our customers overcome data silos, reduce infrastructure costs, and unlock the full potential of their data.