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Pachyderm vs Grooper: 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; Grooper: Innovate workflows by integrating difficult data. It empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, It is an intelligent document and digital data integration platform. It combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing.
Pachyderm belongs to "Big Data Tools" category of the tech stack, while Grooper can be primarily classified under "Data Science Tools".
Some of the features offered by Pachyderm are:
- Git-like File System
- Dockerized MapReduce
- Microservice Architecture
On the other hand, Grooper provides the following key features:
- Text and Document Classification
- Hierarchical Data Modeling
- Image Capture
Pachyderm is an open source tool with 4.36K GitHub stars and 413 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.
Pros of Grooper
Pros of Pachyderm
- Containers3
- Versioning1
- Can run on GCP or AWS1
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Cons of Grooper
Cons of Pachyderm
- Recently acquired by HPE, uncertain future.1
