![]() Here's a link to MySQL's open source repository on GitHub.Īirbnb, Uber Technologies, and Netflix are some of the popular companies that use MySQL, whereas Amazon Redshift is used by Lyft, Coursera, and 9GAG. MySQL is an open source tool with 3.98K GitHub stars and 1.56K GitHub forks. "Data Warehousing" is the top reason why over 27 developers like Amazon Redshift, while over 778 developers mention "Sql" as the leading cause for choosing MySQL. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.Īmazon Redshift belongs to "Big Data as a Service" category of the tech stack, while MySQL can be primarily classified under "Databases". The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. What is MySQL? The world's most popular open source database. ![]() 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. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. What is Amazon Redshift? Fast, fully managed, petabyte-scale data warehouse service. Request a demo of the CData Connect and start working with Redshift just like a MySQL database today.Amazon Redshift vs MySQL: What are the differences? With access to live Redshift data from MySQL Workbench, you can easily query and update Redshift, just like you would a MySQL database. Write a SQL query to retrieve Redshift data, like SELECT * FROM redshiftdb.Orders.Open the connection you just created (CData Connect).Click Test Connection to ensure the connection is configured properly and click OK.Click Store in Vault to set and store the password.Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.In MySQL Workbench, click to add a new MySQL connection.The steps below outline connecting to the virtual Redshift database in Connect from MySQL Workbench and issuing basic queries to work with live Redshift data. With the virtual database created, you are ready to connect to Redshift from MySQL Workbench. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.On the Clusters page, click the name of the cluster.You can obtain the Server and Port values in the AWS Management Console: Password: Set this to the password you want to use to authenticate to the Server.User: Set this to the username you want to use to authenticate to the Server. ![]() Or, leave this blank to use the default database of the authenticated user.
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