Amazon EMR vs Amazon Redshift vs Cloudera Enterprise

Amazon EMR
Amazon EMR

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Amazon Redshift
Amazon Redshift

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Cloudera Enterprise
Cloudera Enterprise

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- No public GitHub repository available -
- No public GitHub repository available -

What is Amazon EMR?

Amazon EMR is used in a variety of applications, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics. Customers launch millions of Amazon EMR clusters every year.

What is Amazon Redshift?

Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets 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.

What is Cloudera Enterprise?

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Want advice about which of these to choose?Ask the StackShare community!

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          What are some alternatives to Amazon EMR, Amazon Redshift, and Cloudera Enterprise?
          Amazon EC2
          Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
          Amazon DynamoDB
          All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, 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.
          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.
          Google BigQuery
          Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
          Snowflake
          Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
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          Decisions about Amazon EMR, Amazon Redshift, and Cloudera Enterprise
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          How developers use Amazon EMR, Amazon Redshift, and Cloudera Enterprise
          Avatar of Olo
          Olo uses Amazon RedshiftAmazon Redshift

          Aggressive archiving of historical data to keep the production database as small as possible. Using our in-house soon-to-be-open-sourced ETL library, SharpShifter.

          Avatar of Andrew La Grange
          Andrew La Grange uses Amazon EMRAmazon EMR

          We use Amazon EMR for all our Hadoop workloads.

          Avatar of Christian Moeller
          Christian Moeller uses Amazon RedshiftAmazon Redshift

          Connected to BI (Pentaho)

          Avatar of Kovid Rathee
          Kovid Rathee uses Amazon RedshiftAmazon Redshift

          OLAP and BI

          How much does Amazon EMR cost?
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