Use Cases

Bacalhau provides powerful distributed compute capabilities that can be applied across various domains and scenarios. Explore the examples below to discover how Bacalhau can address your specific needs.

Below is a complete list of all available use case documentation:

📄️ Log Processing

Process logs efficiently at scale by running distributed jobs directly at the source, reducing costs, improving real-time insights, and enhancing security.

📄️ Distributed Data Warehousing

Efficiently query and analyze data across multiple regions by deploying compute tasks directly where your data resides, reducing latency, enhancing performance and ensuring compliance.

📄️ Fleet Management

Efficiently manage and operate a large fleet of distributed nodes with remote execution, real-time monitoring, targeted job execution, and automated software updates.

📄️ Distributed Machine Learning

Train and deploy machine learning models across a distributed compute fleet, optimizing performance, reducing data movement, and enabling large-scale parallelism.

📄️ Edge Computing

Run compute tasks closer to the data source, reducing latency, minimizing bandwidth costs, and enabling real-time processing for edge devices and remote environments.