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Amazon EMR vs Matillion: What are the differences?

### Introduction

Key differences between Amazon EMR and Matillion are highlighted below:

1. **Architecture**: Amazon EMR is a managed Hadoop framework, while Matillion is a cloud-native ETL/ELT tool. EMR provides infrastructure provisioning and management for big data processing, whereas Matillion focuses on transforming and loading data into cloud data warehouses.

2. **Cost Structure**: Amazon EMR follows a pay-as-you-go model, where users pay for the EC2 instances and storage they use. In contrast, Matillion offers subscription-based pricing with fixed tiers based on the user's needs and usage, making it easier for budget planning and scalability.

3. **Supported Integrations**: Amazon EMR integrates seamlessly with various open-source big data frameworks like Apache Spark, Hadoop, and Presto, providing users with flexibility to choose the tools that best fit their needs. Matillion, on the other hand, specializes in integrations with cloud data warehouses such as Amazon Redshift, Snowflake, and Google BigQuery, enabling easy access to cloud-native analytics platforms.

4. **Ease of Use**: Amazon EMR requires more technical expertise to set up and manage clusters, as users need to configure Hadoop ecosystem components manually. In comparison, Matillion offers a user-friendly graphical interface that allows users to create data pipelines visually, reducing the need for coding and making it more accessible to non-technical users.

5. **Scalability**: While both Amazon EMR and Matillion are designed to scale based on workload demands, EMR provides more control over cluster scaling by allowing users to modify instance types and sizes dynamically. Matillion, on the other hand, automatically scales processing power based on the volume of data being processed, simplifying the scalability process for users.

6. **Community Support**: Amazon EMR benefits from a large community of users and developers contributing to its ecosystem, providing a vast array of resources, tutorials, and best practices. Matillion, although growing rapidly, has a smaller community but offers dedicated customer support and training to help users make the most of the platform.

In Summary, Amazon EMR and Matillion differ in architecture, cost structure, supported integrations, ease of use, scalability, and community support, catering to different needs in the big data and analytics space.
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Pros of Amazon EMR
Pros of Matillion
  • 15
    On demand processing power
  • 12
    Don't need to maintain Hadoop Cluster yourself
  • 7
    Hadoop Tools
  • 6
  • 4
    Backed by Amazon
  • 3
  • 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
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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 Matillion?

    It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Amazon EMR and Matillion as a desired skillset
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    What tools integrate with Amazon EMR?
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    Blog Posts

    Aug 28 2019 at 3:10AM


    PythonJavaAmazon S3+16
    What are some alternatives to Amazon EMR and Matillion?
    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.
    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