Pachyderm vs Splunk

Pachyderm vs Splunk: What are the differences?

Pachyderm: MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations; Splunk: Search, monitor, analyze and visualize machine data. It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Pachyderm and Splunk can be categorized as "Big Data" tools.

Some of the features offered by Pachyderm are:

• Git-like File System
• Dockerized MapReduce
• Microservice Architecture

On the other hand, Splunk provides the following key features:

• Predict and prevent problems with one unified monitoring experience
• Streamline your entire security stack with Splunk as the nerve center
• Detect, investigate and diagnose problems easily with end-to-end observability

Pachyderm is an open source tool with 4.35K GitHub stars and 413 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.

According to the StackShare community, Splunk has a broader approval, being mentioned in 67 company stacks & 170 developers stacks; compared to Pachyderm, which is listed in 5 company stacks and 6 developer stacks.