Apache Spark vs. Cloudera Distribution for Hadoop

As of April 2019, Apache Spark is ranked 1st in Hadoop with 8 reviews vs Cloudera Distribution for Hadoop which is ranked 2nd in Hadoop with 1 review. The top reviewer of Apache Spark writes "We are able to solve problems, e.g., reporting on big data, that we were not able to tackle in the past". The top reviewer of Cloudera Distribution for Hadoop writes "We use this solution to use big data for our analyses". Apache Spark is most compared with Spring Boot, Azure Stream Analytics and AWS Lambda. Cloudera Distribution for Hadoop is most compared with Hortonworks Data Platform, Cassandra and Amazon EMR.

Apache Spark

Cloudera Distribution for Hadoop

Apache Spark

Read 8 Apache Spark reviews.

15,422 views|8,386 comparisons

Cloudera Distribution for Hadoop

Read 1 Cloudera Distribution for Hadoop review.

18,064 views|7,470 comparisons

Most Helpful Review

Rosemary Walsh

Portfolio Manager, Enterprise Solutions Architect

Supports streaming and micro-batch

It's a better MR, supports streaming and micro-batch, and supports Spark ML and Spark SQL.

Sumit Chaudhuri

Lead Consultant - Product Development at a tech services company

We use this solution to use big data for our analyses

That is still in PUC stage, as I have mentioned our analyst used to do the actuarial on a spreadsheet but after Hadoop implementation they are... Read more »

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Ranking
1st out of 24 in Hadoop Views 15,422 Comparisons 8,386 Reviews 7 Average Words per Review 175 Avg. Rating 7.7	2nd out of 24 in Hadoop Views 18,064 Comparisons 7,470 Reviews 1 Average Words per Review 361 Avg. Rating 9.0
Top Comparisons
Spring Boot vs. Apache Spark Compared 16% of the time. Azure Stream Analytics vs. Apache Spark Compared 15% of the time. AWS Lambda vs. Apache Spark Compared 12% of the time. See more Apache Spark competitors » + Add more products to compare	Hortonworks Data Platform vs. Cloudera Distribution for Hadoop Compared 21% of the time. Cassandra vs. Cloudera Distribution for Hadoop Compared 14% of the time. Amazon EMR vs. Cloudera Distribution for Hadoop Compared 12% of the time. See more Cloudera Distribution for Hadoop competitors » + Add more products to compare
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Apache	Cloudera
Overview
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	Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
Offer
Learn more about Apache Spark Learn More	Learn more about Cloudera Distribution for Hadoop Learn More
Sample Customers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions	37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC

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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: March 2019.

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