Apache Spark vs. Airpal vs. CDAP

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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

CDAP

Favorites

57

Favorites

14

Favorites

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.

Pros about this tool

Pros
Why do you like Apache Spark?

Pros
Why do you like Airpal?

Pros
Why do you like CDAP?

Pricing

Companies

218 Companies Using Apache Spark
2 Companies Using Airpal
2 Companies Using CDAP

Integrations

Apache Spark Integrations
Airpal Integrations
CDAP Integrations


Interest Over Time


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