Amazon Redshift vs Cloudera Enterprise vs Snowflake

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Amazon Redshift
Amazon Redshift

651
335
+ 1
86
Cloudera Enterprise
Cloudera Enterprise

51
47
+ 1
0
Snowflake
Snowflake

114
77
+ 1
0
- No public GitHub repository available -
- 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 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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Why do developers choose Amazon Redshift?
Why do developers choose Cloudera Enterprise?
Why do developers choose Snowflake?
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            What companies use Amazon Redshift?
            What companies use Cloudera Enterprise?
            What companies use Snowflake?

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            What tools integrate with Amazon Redshift?
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            What are some alternatives to Amazon Redshift, Cloudera Enterprise, and Snowflake?
            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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            Decisions about Amazon Redshift, Cloudera Enterprise, and Snowflake
            Ankit Sobti
            Ankit Sobti
            CTO at Postman Inc · | 11 upvotes · 84K views
            atPostmanPostman
            Looker
            Looker
            Stitch
            Stitch
            Amazon Redshift
            Amazon Redshift
            dbt
            dbt

            Looker , Stitch , Amazon Redshift , dbt

            We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.

            For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.

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            Google BigQuery
            Google BigQuery
            Snowflake
            Snowflake

            I use Google BigQuery because it makes is super easy to query and store data for analytics workloads. If you're using GCP, you're likely using BigQuery. However, running data viz tools directly connected to BigQuery will run pretty slow. They recently announced BI Engine which will hopefully compete well against big players like Snowflake when it comes to concurrency.

            What's nice too is that it has SQL-based ML tools, and it has great GIS support!

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            Reviews of Amazon Redshift, Cloudera Enterprise, and Snowflake
            How developers use Amazon Redshift, Cloudera Enterprise, and Snowflake
            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 Flux Work
            Flux Work uses SnowflakeSnowflake

            Data warehouse solution that fully separates compute and storage. Better management facility than directly using S3.

            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 Redshift cost?
            How much does Cloudera Enterprise cost?
            How much does Snowflake cost?
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