Pachyderm vs s3-lambda: What are the differences?
Developers describe Pachyderm as "MapReduce without Hadoop. Analyze massive datasets with Docker". Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations. On the other hand, s3-lambda is detailed as "Lambda functions over S3 objects: each, map, reduce, filter". s3-lambda enables you to run lambda functions over a context of S3 objects. It has a stateless architecture with concurrency control, allowing you to process a large number of files very quickly. This is useful for quickly prototyping complex data jobs without an infrastructure like Hadoop or Spark.
Pachyderm and s3-lambda can be categorized as "Big Data" tools.
Pachyderm and s3-lambda are both open source tools. Pachyderm with 3.78K GitHub stars and 364 forks on GitHub appears to be more popular than s3-lambda with 1.05K GitHub stars and 43 GitHub forks.