Apache Spark
Apache Spark vs Hadoop MapReduce: which is better for batch processing today?
Answer:
Apache Spark is almost always preferred over Hadoop MapReduce for batch processing today. Spark delivers faster performance through in-memory computation, offers easy-to-use APIs, supports interactive analysis, and enables streaming workflows. MapReduce remains in use for legacy jobs at extreme scale, but most new deployments use Spark for its superior speed, flexibility, and developer experience.
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