Amazon Redshift vs Cloudera Enterprise vs Treasure Data

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Amazon Redshift
Amazon Redshift

713
408
+ 1
86
Cloudera Enterprise
Cloudera Enterprise

55
49
+ 1
0
Treasure Data
Treasure Data

16
21
+ 1
5
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- No public GitHub repository available -
- No public GitHub repository available -

What is 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.

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.

What is Treasure Data?

Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.
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Why do developers choose Amazon Redshift?
Why do developers choose Cloudera Enterprise?
Why do developers choose Treasure Data?
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          What companies use Amazon Redshift?
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          What are some alternatives to Amazon Redshift, Cloudera Enterprise, and Treasure Data?
          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.
          Amazon Athena
          Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
          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 Spectrum
          With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data.
          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.
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          How developers use Amazon Redshift, Cloudera Enterprise, and Treasure Data
          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 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

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