What are the key differences between Apache Hadoop and Apache Spark?

Compare Apache Hadoop and Apache Spark side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Apache Hadoop and Apache Spark scored?

Apache Hadoop has an AI score of 7.5/10 and Apache Spark has an AI score of 8.7/10. Scores are based on features, user satisfaction, and overall quality analysis.

Apache Hadoop vs Apache Spark 2026 — Compared

Apache Hadoop

Apache Spark

WINNER Apache Spark

Apache Spark edges ahead with a score of 8.7/10 compared to 7.5/10 for Apache Hadoop. While both are highly rated in the...

Apache Hadoop

7.5 Good

Data Science Get Apache Hadoop open_in_new

emoji_events WINNER

Apache Spark

8.7 Very Good

Data Analysis Get Apache Spark open_in_new

Apache Hadoop Free plan available

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Apache Spark Free plan available

psychology AI Verdict

Apache Spark edges ahead with a score of 8.7/10 compared to 7.5/10 for Apache Hadoop. While both are highly rated in their respective fields, Apache Spark demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Apache Spark

verified Confidence: Low

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description Overview

Apache Hadoop

Apache Hadoop is the foundational framework that launched the big data era. It provides a distributed file system (HDFS) and a processing model (MapReduce) that allow for the storage and processing of massive datasets across clusters of commodity hardware. While modern cloud-native tools have largely replaced MapReduce and HDFS for most use cases, Hadoop remains a significant part of the big data...

Apache Spark

Apache Spark is the industry standard for large-scale data processing. While it is a general-purpose engine, its SQL module (Spark SQL) is a powerful query engine capable of handling petabyte-scale datasets. Spark is designed for distributed computing, making it the primary choice for heavy ETL pipelines and complex batch analytics. Its ability to integrate with various data sources and its massiv...