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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 real time collaboration (RTC) server. It uses the only widely adopted open protocol for instant messaging, XMPP (also called Jabber). It is incredibly easy to setup and administer, but offers rock-solid security and performance. |
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 | Instant messaging; Rock-solid security and performance; Easy to setup |
Statistics | |
GitHub Stars 42.2K | GitHub Stars - |
GitHub Forks 28.9K | GitHub Forks - |
Stacks 3.1K | Stacks 12 |
Followers 3.5K | Followers 47 |
Votes 140 | Votes 0 |
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