Amazon Redshift integration with RudderStack

Use RudderStack to Securely Store Your Data in Amazon Redshift

RudderStack makes it very easy for you to send and store your event data in Redshift without having to build and maintain your storage. Enable Redshift as a destination in RudderStack and store all your event data automatically in real-time. Rather than manually configuring the Redshift storage and transforming your data, you can devote your precious time to getting meaningful insights out of it.

By Adding Amazon Redshift Support for RudderStack, you can:

  • Connect and load your data into Amazon Redshift, in no time
  • Track your event data in real-time
  • Transform the data before loading, so it's easy to query
  • Synchronize your data from a variety of sources with our web and mobile SDKs

What you can do with Amazon Redshift

Setting up a Redshift data warehouse on your own can be quite exhausting and time-consuming. You have to build and maintain the data warehouse from scratch, in addition to defining the schema that determines how the data from the sources gets stored in the warehouse.

By simply connecting Redshift as a destination in RudderStack, you can get started in no time at all.

Integrate new data sources within minutes, saving your valuable time

Perform seamless and hassle-free querying of your data at scale

Store your results for later use and use them with other cutting-edge analytics solutions

Get a unique combination of speed, performance, and reliability for diverse workloads

Pay separately for storage and computing, and only for the resources you use

How to set up the Amazon Redshift Integration

It’s very easy! Use our step-by-step guide to set up Amazon Redshift as a destination in RudderStack, and get started in no time at all.



How can we help you?

What is Amazon Redshift used for?

Amazon Redshift is a AWS data warehouse that enables developers to send data from their Data Warehouse.

Is it hard to set up Amazon Redshift?

Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending warehouse data through secure AWS data warehouse integration tools like RudderStack.

How much does it cost to integrate Amazon Redshift with RudderStack?

Pricing for Amazon Redshift can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

What is the use of Amazon Redshift?

Amazon Redshift is a fully-managed, highly scalable cloud data warehouse service by AWS. It allows you to collect, store, and manage your data across any scale, and analyze it using the cutting-edge Business Intelligence tools at its disposal. With Redshift, you can focus on getting insights out of your data, rather than worrying about storing and managing it. Redshift currently handles the analytical workloads of many Fortune 500 companies, countless startups, as well as mid-to-large sized organizations.

What is Amazon Redshift in AWS?

Amazon Redshift is a popular cloud data warehouse offering by AWS (Amazon Web Services). It offers fully managed handling of scalable data workloads as well as advanced analytics capabilities. Redshift offers seamless integration with your AWS data lake as well as other AWS services, with optimum performance and minimal querying costs. With Redshift, you can focus on getting value out of your data and not worry about data management or scaling your data workloads.

Is Redshift a relational database?

Amazon Redshift is a relational database management system (RDBMS). It offers the same functionality as other RDBMS platforms such as inserting and deleting data, online transaction processing, and more, it is primarily used for handling large scale analytical workloads and reporting tasks. Redshift shines when it comes to handling heavy data workload and crunching big data queries on large datasets, often in the scale of terabytes and petabytes.

What is the difference between Amazon RDS and Redshift?

Both Amazon Redshift and RDS allow you to run traditional relational databases on the cloud, without having to worry about any administration aspects. While you can use RDS for online transaction processing (OLTP) workloads, Redshift is used primarily for analytics and reporting tasks.

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