Apache Spark vs. Airpal vs. CDAP

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Apache Spark

Airpal

CDAP

Favorites

55

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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 CDAP?

Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

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Why do you like Apache Spark?

Why do you like Airpal?

Why do you like CDAP?

Cons about this tool

Pricing

CDAP Pricing

Customers

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Interest Over Time


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