Apache Spark vs. Presto vs. CDAP

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Apache Spark

Presto

CDAP

Favorites

57

Favorites

34

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 Presto?

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

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?

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Why do you like Presto?

Pros
Why do you like CDAP?

Pricing

Companies

218 Companies Using Apache Spark
15 Companies Using Presto
2 Companies Using CDAP

Integrations

Apache Spark Integrations
Presto Integrations
CDAP Integrations


Interest Over Time


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