What are the cons of Spark for big data processing?
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4 min read
While Apache Spark is celebrated for its in-memory processing speed, its reliance on massive amounts of RAM can lead to significant cost and performance challenges. Understanding the full spectrum of Spark's limitations is crucial for organizations aiming to select the right big data processing tool for their specific needs.
