How to combine data from Keepa with Amazon Redshift

Pipes allows you to quickly Integrate Keepa with Amazon Redshift data for a combined analysis.

Load data from Keepa and Amazon Redshift into your central data warehouse to analyze it with the business intelligence tool of your choice.

Pipes allows you to connect to Keepa, Amazon Redshift, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.

Connect to Keepa and Amazon Redshift

You just need to enter the associated credentials to allow Pipes access to the Keepa API and the Amazon Redshift API.

Combine data from Keepa and Amazon Redshift

Pipes lets you select the data from Keepa and Amazon Redshift that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

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About Keepa

Keepa is a price tracker for items on Amazon and Amazon Marketplace. The company allows access to price history data of Amazon products with their API (application programming interface).

About Amazon Redshift

Amazon Redshift is a data warehouse that allows its users to analyze data in conjunction with existing Business Intelligence tools and standard SQL. With Amazon Redshift users are enabled to perform complex analysis queries on multiple petabytes of structured data.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.

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