Apache Spark
Spark solves a core component of the data analytics puzzle by optimizing data storage in clustered environments. Hadoop supports clusters, too, but Spark offers a more flexible data retrieval framework, which can optionally take advantage of in-memory data processing within distributed environments. The results are data analytics that can be up to one hundred times faster than Hadoop when done in memory, according to Spark developers.
Spark solves a core component of the data analytics puzzle by optimizing data storage in clustered environments. Hadoop supports clusters, too, but Spark offers a more flexible data retrieval framework, which can optionally take advantage of in-memory data processing within distributed environments. The results are data analytics that can be up to one hundred times faster than Hadoop when done in memory, according to Spark developers.
