Amazon Redshift
Amazon Redshift

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Snowflake
Snowflake

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Amazon Redshift vs Snowflake: What are the differences?

Developers describe Amazon Redshift as "Fast, fully managed, petabyte-scale data warehouse service". 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. On the other hand, Snowflake is detailed as "The data warehouse built for the cloud". 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.

Amazon Redshift and Snowflake can be primarily classified as "Big Data as a Service" tools.

Lyft, PedidosYa, and Zapier are some of the popular companies that use Amazon Redshift, whereas Snowflake is used by Instacart, HousingAnywhere, and Auto Trader. Amazon Redshift has a broader approval, being mentioned in 267 company stacks & 63 developers stacks; compared to Snowflake, which is listed in 27 company stacks and 10 developer stacks.

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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 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.

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

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What are some alternatives to Amazon Redshift 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
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.
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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What tools integrate with Amazon Redshift?
What tools integrate with Snowflake?
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Reviews of Amazon Redshift and Snowflake
How developers use Amazon Redshift 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

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