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CommentsApache Spark vs Ratpack
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Detailed Comparison
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning. | It is a set of Java libraries for building scalable HTTP applications. It is a lean and powerful foundation. Its apps are lightweight, fast, composable with other tools and libraries, easy to test and enjoyable to develop. |
Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk;Write applications quickly in Java, Scala or Python;Combine SQL, streaming, and complex analytics;Spark runs on Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Cassandra, HBase, S3 | Lean & powerful HTTP apps; toolkit for creating high performance web applications; |
Statistics | |
GitHub Stars 42.2K | GitHub Stars 1.9K |
GitHub Forks 28.9K | GitHub Forks 402 |
Stacks 3.1K | Stacks 14 |
Followers 3.5K | Followers 22 |
Votes 140 | Votes 0 |
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