Apache Spark is the #1 ranked solution in top Hadoop tools
, #2 ranked solution in top Compute Service tools
, and #2 ranked solution in top Java Frameworks
. PeerSpot users give Apache Spark an average rating of 8.0 out of 10.
Apache Spark is most commonly compared to Spring Boot: Apache Spark vs Spring Boot
. Apache Spark is popular among the large enterprise segment,
accounting for 73% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a
financial services firm, accounting for 19% of all views.
Apache Spark Buyer's Guide
Download the Apache Spark Buyer's Guide including reviews and more. Updated: November 2022
What is Apache Spark?
Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory
Apache Spark Customers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
Apache Spark Video