Compare Apache Hadoop and Apache Spark

[DataFlair Team]

What is the difference between Apache Hadoop and Apache Spark?

[DataFlair Team]

Hadoop

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• Stores data in local disk
• Slow speed
• Suitable for batch processing
• External schedulers required
• High latency
• No in-built interactive mode.

Spark

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• Stores data in-memory
• Faster speed
• Suitable for batch and real-time processing
• Schedules tasks itself
• Low latency
• Has interactive mode

For difference between Apache Spark and Hadoop MapReduce please refer Apache Spark vs Mapreduce

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