Amazon EMR vs Apache Spark vs Hortonworks Data Platform comparison

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Amazon Web Services (AWS) Logo
2,108 views|1,795 comparisons
85% willing to recommend
Apache Logo
2,430 views|1,869 comparisons
89% willing to recommend
Cloudera Logo
606 views|352 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EMR, Apache Spark, and Hortonworks Data Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: May 2024).
771,212 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The initial setup is pretty straightforward.""The project management is very streamlined.""One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR.""The initial setup is straightforward.""We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot.""The solution is scalable.""Amazon EMR is a good solution that can be used to manage big data.""It has a variety of options and support systems."

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"The solution is very stable.""DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort.""The product’s most valuable feature is the SQL tool. It enables us to create a database and publish it.""The product’s most valuable features are lazy evaluation and workload distribution.""It's easy to prepare parallelism in Spark, run the solution with specific parameters, and get good performance.""The most crucial feature for us is the streaming capability. It serves as a fundamental aspect that allows us to exert control over our operations.""Apache Spark provides a very high-quality implementation of distributed data processing.""The data processing framework is good."

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"The product offers a fairly easy setup process.""Distributed computing, secure containerization, and governance capabilities are the most valuable features.""Hortonworks should not be expensive at all to those looking into using it.""The upgrades and patches must come from Hortonworks.""Ambari Web UI: user-friendly.""It is a scalable platform.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.""We use it for data science activities."

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Cons
"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services.""The legacy versions of the solution are not supported in the new versions.""The dashboard management could be better. Right now, it's lacking a bit.""The most complicated thing is configuring to the cluster and ensure it's running correctly.""There is no need to pay extra for third-party software.""The product must add some of the latest technologies to provide more flexibility to the users.""There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange.""There is room for improvement in pricing."

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"We use big data manager but we cannot use it as conditional data so whenever we're trying to fetch the data, it takes a bit of time.""We are building our own queries on Spark, and it can be improved in terms of query handling.""Apache Spark should add some resource management improvements to the algorithms.""We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data.""The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive.""One limitation is that not all machine learning libraries and models support it.""The solution must improve its performance.""It should support more programming languages."

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"Deleting any service requires a lot of clean up, unlike Cloudera.""The cost of the solution is high and there is room for improvement.""I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors.""It's at end of life and no longer will there be improvements.""Security and workload management need improvement.""I would like to see more support for containers such as Docker and OpenShift.""Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS.""The version control of the software is also an issue."

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Pricing and Cost Advice
  • "You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."
  • "The cost of Amazon EMR is very high."
  • "The price of the solution is expensive."
  • "Amazon EMR's price is reasonable."
  • "There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
  • "There is no need to pay extra for third-party software."
  • "Amazon EMR is not very expensive."
  • "The product is not cheap, but it is not expensive."
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  • "Since we are using the Apache Spark version, not the data bricks version, it is an Apache license version, the support and resolution of the bug are actually late or delayed. The Apache license is free."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • "We are using the free version of the solution."
  • "Apache Spark is not too cheap. You have to pay for hardware and Cloudera licenses. Of course, there is a solution with open source without Cloudera."
  • "Apache Spark is an expensive solution."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
  • "It is an open-source solution, it is free of charge."
  • More Apache Spark Pricing and Cost Advice →

  • "It is priced well and it is affordable"
  • "Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
  • More Hortonworks Data Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon EMR is a good solution that can be used to manage big data.
    Top Answer:As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more… more »
    Top Answer:We use Spark to process data from different data sources.
    Top Answer:In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond… more »
    Top Answer:Distributed computing, secure containerization, and governance capabilities are the most valuable features.
    Top Answer:I haven't done a price analysis specifically for HDP. However, when it was first introduced as Hadoop 2.0, there were a… more »
    Top Answer:Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage… more »
    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,108
    Comparisons
    1,795
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    1st
    out of 22 in Hadoop
    Views
    2,430
    Comparisons
    1,869
    Reviews
    26
    Average Words per Review
    444
    Rating
    8.7
    6th
    out of 22 in Hadoop
    Views
    606
    Comparisons
    352
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Hortonworks, HDP
    Learn More
    Overview
    Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

    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

    The Hortonworks Data Platform is acclaimed for its robust handling of big data, offering scalable solutions for data storage optimization and advanced analytics. Users benefit from its seamless processing of both streaming and batch data, and efficient maintenance of data lakes for improved governance. Key features include comprehensive security and seamless integration with existing analytics tools, significantly enhancing organizational efficiency and decision-making capabilities.

    Sample Customers
    Yelp
    NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Wholesaler/Distributor18%
    Media Company18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    University9%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company13%
    Manufacturing Company7%
    Comms Service Provider6%
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Comms Service Provider6%
    Outsourcing Company6%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business40%
    Midsize Enterprise18%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise14%
    Large Enterprise60%
    Buyer's Guide
    Hadoop
    May 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: May 2024.
    771,212 professionals have used our research since 2012.