# Bright Cluster Manager Reviews
**Vendor:** NVIDIA  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 5.0/5.0  
**Total Reviews:** 1
## About Bright Cluster Manager
Bright Computing provides comprehensive software solutions for provisioning and managing HPC clusters, Hadoop clusters, and OpenStack private clouds in your data center or in the cloud.




## Bright Cluster Manager Reviews
  ### 1. Clustered efficiency at its best

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** September 17, 2019

**What do you like best about Bright Cluster Manager?**

From deploying to provisioning to monitoring and maintaining, and to implement cloud on a much broader scale, has given us edge advantage

**What do you dislike about Bright Cluster Manager?**

Structure is still complex and rigorous training is needed to make sense of this concept but it is well worth the effort and time to implement such model 

**What problems is Bright Cluster Manager solving and how is that benefiting you?**

Flexibility and reliability has been a huge issue for us, so with implementation of clusters, it has allowed us to be more efficient


## Bright Cluster Manager Discussions
  - [What is Bright Cluster Manager used for?](https://www.g2.com/discussions/what-is-bright-cluster-manager-used-for)

- [View Bright Cluster Manager pricing details and edition comparison](https://www.g2.com/products/bright-cluster-manager/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+14%3A29%3A03+-0500&secure%5Bsession_id%5D=f99e787f-9577-4a06-b6cb-30b5cf10aaa7&secure%5Btoken%5D=b2851bc7b857ac2dcd1b677e7aecbc63efcf262719dcd420f0d2d1d9d68f0d9d&format=llm_user)

## Bright Cluster Manager Features
**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Integrations**
- Hadoop Integration
- Spark Integration

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Processing**
- Cloud Processing
- Workload Processing

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

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