Amazon Redshift vs Google BigQuery vs Snowflake

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Amazon Redshift
Amazon Redshift

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Google BigQuery
Google BigQuery

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+ 1
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Snowflake
Snowflake

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0
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- No public GitHub repository available -
- No public GitHub repository available -

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 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.

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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        What are some alternatives to Amazon Redshift, Google BigQuery, and Snowflake?
        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.
        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.
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        How developers use Amazon Redshift, Google BigQuery, and Snowflake
        Avatar of ShareThis
        ShareThis uses Google BigQueryGoogle BigQuery

        BigQuery allows our team to pull reports quickly using a SQL-like queries against our large store of data about social sharing. We use the information throughout the company, to do everything from making internal product decisions based on usage patterns to sharing certain kinds of custom reports with our publishers.

        Avatar of Lyndon Wong
        Lyndon Wong uses Google BigQueryGoogle BigQuery

        Aggregation of user events and traits across a marketing website, SaaS web application, user account provisioning backend and Salesforce CRM. Enables full-funnel analysis of campaign ROI, customer acquisition, engagement and retention at both the user and target account level.

        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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