Apache Spark vs. Airpal vs. Pachyderm

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Apache Spark

Airpal

Pachyderm

Favorites

52

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14

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6

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

Description

What is Apache Spark?

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

What is Airpal?

A web-based query execution tool built on top of Facebook's PrestoDB.

What is Pachyderm?

Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.

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Why do you like Apache Spark?

Why do you like Airpal?

Why do you like Pachyderm?

Cons about this tool

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