Is it possible to run Apache Spark without Apache Hadoop?

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Is Spark dependent on Hadoop or vice-versa?

In Case if I try to run Apache Spark with Hadoop, Will I be losing any features?

Please help me out. Am a new learner.
Jun 17 in Big Data Hadoop by nitinrawat895
• 10,110 points
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1 answer to this question.

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First of all, Let us get a few clarifications done.

  • Hadoop and Spark both were designed to handle big data but they both are designed for different purposes and with different capabilities.
  • Hadoop was built to store data in a distributed environment and Spark was built to process data in a Distributed Environment.
  • Spark does not have its own storage system, it needs to depend on Hadoop components for storage.
  • while Hadoop has its own data processing units like MapReduce.

Spark can run With/Without the Hadoop components and you can run it in three different modes.

  1. Standalone
  2. Pseudo-Distributed
  3. Fully Distributed
You can refer to the Spark Article for more information. and also to this Hadoop Article
answered Jun 17 by ravikiran
• 3,560 points

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