Redshift is Amazon’s analytics database, and is designed to crunch large amounts of data as a data warehouse. Is Amazon Redshift a Relational Database? Each Redshift cluster runs its own Redshift engine and contains at least one database. It's used for large scale data storage and analysis, and is frequently used to perform large database migrations.Įach Amazon Redshift data warehouse contains a collection of computing resources (nodes) organized in a cluster. What is AWS Redshift Used for?ĪWS Redshift is a data warehouse product built by Amazon Web Services.

Based on PostgreSQL 8, Redshift delivers fast performance and efficient querying that help teams make sound business analyses and decisions. Redshift’s column-oriented database is designed to connect to SQL-based clients and business intelligence tools, making data available to users in real time. It is also used to perform large scale database migrations. What is Amazon Redshift?Īmazon Redshift (also known as AWS Redshift) is a fully-managed petabyte-scale cloud based data warehouse product designed for large scale data set storage and analysis. With the rise of cloud computing, the need for warehousing solutions that can scale up for the increasing demands of data storage and analysis has been apparent, resulting in organizations looking for alternatives to traditional on-premise warehousing.ĪWS’s Amazon Redshift is a direct response to this demand. On traditional database warehouses, queries will start taking more time, making data difficult to manage.

When an organization gains traction, the size of data that needs to be stored, monitored, and analyzed expands exponentially. In this first post, we will discuss how Amazon Redshift works and why it is the fastest growing cloud data warehouse in the market, used by over 15,000 customers around the world.

In this blog series, we will cover how Amazon Redshift and Sumo Logic deliver best-in-class data storage, processing, analytics, and monitoring.

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