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WEKA vs MinIO: Comparing Two Leading Object Storage Solutions

Date: 10/29/2024

Written by: Chris Sheng

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In the big data era, enterprises are increasingly looking for advanced storage solutions that can help them manage and process increasing unstructured data. Two leading players in this area are Weka and MinIO. Each of these provides powerful object storage solutions, although with a difference in usage and strengths. 

1. Overview of WEKA and MinIO

What is WEKA?

WEKA is a high-performance distributed file system designed for large-scale, data-intensive workloads.

What is MinIO?

MinIO is an open source object storage designed to be native for cloud environments. MinIO focuses on scalability, high availability, and performance for modern applications that need massive amounts of object storage.

2. Key Features Comparison

WEKA Features

  • Unified Storage: WEKA provides a single platform for file and object storage to effectively run hybrid workloads for AI, ML, and data analytics, where applications require low-latency access to data.
  • High Performance File System: The distributed file system of WEKA is designed for high throughput/low latency and optimal for HPC, large-scale AI workloads.
  • NVIDIA GPU Acceleration: WEKA tightly integrates with NVIDIA GPUs and is considered a go-to for AI and machine learning workloads requiring acceleration of data processing on GPUs.
  • Cloud and On-Prem Support: WEKA can be deployed on-premises or in the cloud, flexible to hybrid cloud environments.
  • Scalability: WEKA is developed to scale from a minimal cluster to exabyte-size deployments with linearity in performance.

MinIO Features

  • Compatibility with Amazon S3: MinIO is fully compatible with the S3 API; it’s been painless for cloud-native applications and workflows currently using AWS S3 to use this product as object storage.
  • Open Source: MinIO is open-source and free of cost, ensuring a large active community. Being open-source also allows enterprises to extend/modify the platform according to their needs.
  • Kubernetes Integration: Native integration makes MinIO one of the go-to solutions in a Kubernetes-driven microservices architecture. 
  • Scalability and Performance: MinIO is designed to be horizontally scalable, with massive amounts of object storage behind a single cluster, while sustaining strong performance.
  • High Availability: High availability is also supported with minimum effort thanks to its architecture.
  • Erasure Coding: It is used for providing the best protection for data and at the same time keeping overheads minimal.

3. Performance and Scalability

  • WEKA Performance

WEKA is designed for high-performance computing environments and provides super-fast access speeds to data involved in large-scale AI/ML and analytics workloads. Owing to its architecture, WEKA provides low-latency, high-throughput data processing, well-suited for companies working with GPU-accelerated applications or working on big simulations. 

  • MinIO Performance

MinIO is also built to be high-performance, but it has a focus on cloud-native and object storage use cases. It provides exceptional performance in cloud-based, distributed environments for object storage workloads, especially when working with large datasets, backups, and media content. 

 4. Deployment Models

  • WEKA Deployment

WEKA supports on-premise, cloud, and hybrid deployments. This can be a traditional in-premise data center scaling out to the cloud and therefore is flexible for businesses requiring hybrid environments and/or wanting to move workloads between on-prem and cloud infrastructures.

  • MinIO Deployment

MinIO boasts of a cloud-native architecture that makes it particularly well-suited for Kubernetes and other containerized environments. It can be deployed on-premises, but it really shines in multi cloud and hybrid cloud settings, especially in distributed object storage use cases.

5. Pricing and Licensing

  • WEKA Pricing
  • WEKA is geared toward enterprise features and is mainly targeted for organizations needing high-performance computing and storage solutions. 
  • WEKA will have a customized pricing model based on the size of the deployment, depending on the organization’s needs. 
  • Pricing is generally very high because of the premium feature usage it provides for performance and scalability.
  • MinIO Pricing
  • MinIO is open source, free to use, which instantly makes it more viable for companies with tight budgets.
  • For enterprises that need more support and further advanced features such as multi-tenancy or object locking, MinIO offers a subscription model called MinIO SUBNET. It offers professional support with further enterprise features. 

Conclusion: 

In result, WEKA and MinIO are very powerful storage solutions, but for different needs: WEKA excels within high-performance computing, AI/ML workloads, and hybrid environments with low-latency access to data, while MinIO does exceptionally well with cloud-native applications, Kubernetes environments, and scalable object storage thanks to its S3 compatibility and flexibility of being open-sourced. This should be a function of the use case: high-speed file access for applications or highly scalable object storage to meet the needs of modern cloud architectures.