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Amazon EMR

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Amazon EMR vs Qubole: What are the differences?

Introduction

Amazon EMR and Qubole are both popular big data processing platforms that offer managed service solutions. While they have similarities in terms of their purpose, there are key differences between the two.

  1. Pricing Model: One of the major differences between Amazon EMR and Qubole lies in their pricing models. Amazon EMR offers an on-demand pricing model, where users pay for the resources they consume on an hourly basis. In contrast, Qubole follows a subscription-based pricing model, allowing users to pay a fixed fee per month for a specific amount of compute resources.

  2. Ease of Use: When it comes to ease of use, Amazon EMR provides a more user-friendly experience compared to Qubole. Amazon EMR empowers users with a web-based management console, which simplifies cluster provisioning, management, and monitoring tasks. On the other hand, Qubole offers a command-line interface (CLI) as the primary method of interaction, which might require more technical expertise.

  3. Integration with AWS Services: Amazon EMR is tightly integrated with various AWS services, such as Amazon S3, Amazon Redshift, and AWS Glue. This seamless integration allows users to efficiently ingest, process, and store data across different AWS services. While Qubole also provides integration with AWS services, it might not have the same level of integration and extensive ecosystem as Amazon EMR.

  4. Feature Set: Another difference between Amazon EMR and Qubole lies in their feature sets. Amazon EMR offers a wide range of pre-installed big data tools and frameworks, including Hadoop, Spark, Hive, and Presto. Additionally, it provides advanced features like EMRFS (EMR File System), which enables direct access to S3 data. Qubole, on the other hand, offers a comprehensive set of tools tailored for data science and analytics workflows, including support for R and Python.

  5. Security and Compliance: In terms of security and compliance, both Amazon EMR and Qubole offer robust solutions. Amazon EMR benefits from being an AWS service, inheriting the security features and compliance certifications provided by AWS. Qubole, on the other hand, provides advanced security features like encryption at rest and in transit, fine-grained access controls, and integration with LDAP/AD for identity management.

  6. Support and Documentation: Support and documentation can play a crucial role in the user experience. Amazon EMR offers a comprehensive documentation resource and access to AWS Support, including both free and paid support plans. Qubole also provides documentation and support options, but the level and extent of support might vary depending on the subscription plan.

In Summary, Amazon EMR and Qubole differ in their pricing models, ease of use, integration with AWS services, feature sets, security and compliance offerings, and support and documentation provided.

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Pros of Amazon EMR
Pros of Qubole
  • 15
    On demand processing power
  • 12
    Don't need to maintain Hadoop Cluster yourself
  • 7
    Hadoop Tools
  • 6
    Elastic
  • 4
    Backed by Amazon
  • 3
    Flexible
  • 3
    Economic - pay as you go, easy to use CLI and SDKs
  • 2
    Don't need a dedicated Ops group
  • 1
    Massive data handling
  • 1
    Great support
  • 13
    Simple UI and autoscaling clusters
  • 10
    Feature to use AWS Spot pricing
  • 7
    Optimized Spark, Hive, Presto, Hadoop 2, HBase clusters
  • 7
    Real-time data insights through Spark Notebook
  • 6
    Hyper elastic and scalable
  • 6
    Easy to manage costs
  • 6
    Easy to configure, deploy, and run Hadoop clusters
  • 4
    Backed by Amazon
  • 4
    Gracefully Scale up & down with zero human intervention
  • 2
    All-in-one platform
  • 2
    Backed by Azure

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What is Amazon EMR?

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

What is Qubole?

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

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Blog Posts

Aug 28 2019 at 3:10AM

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What are some alternatives to Amazon EMR and Qubole?
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Azure HDInsight
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
See all alternatives