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Apache Spark VS Hortonworks

Compare Apache Spark VS Hortonworks and see what are their differences


Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Hadoop-Related
Apache Spark Landing Page
Apache Spark Landing Page
Hortonworks Landing Page
Hortonworks Landing Page

Apache Spark details

Categories
Databases Big Data Big Data Analytics Big Data Infrastructure
Website spark.apache.org  
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Release Date-

Hortonworks details

Categories
Big Data Databases Productivity
Website en.wikipedia.org  
Pricing URL-
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Platforms
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Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • - What's New in Apache Spark 3.0.0
  • - Apache Spark for Data Engineering and Analysis - Overview

Hortonworks videos

No Hortonworks videos yet. You could help us improve this page by suggesting one.

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Category Popularity beta

0-100% (relative to Apache Spark and Hortonworks)
78
78%
22%
22
74
74%
26%
26
75
75%
25%
25
62
62%
38%
38

What are some alternatives?

When comparing Apache Spark and Hortonworks, you can also consider the following products

Hadoop - Open-source software for reliable, scalable, distributed computing

Hive - The Productivity Platform

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

MapR - MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appli…

Apache Druid - Fast column-oriented distributed data store

IBM Analytics Engine - Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

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