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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
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Renta
Marketing ETL
MySQL to Amazon Redshift

ETL MySQL data to Amazon Redshift

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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MySQL is a powerful open-source database trusted by businesses worldwide.
Renta Marketing ELT seamlessly moves your MySQL data to Amazon Redshift, enabling real-time analytics and deeper marketing insights.
Enjoy automated, secure, and scalable data integration designed for data-driven teams and decision-makers.

Set up your ELT pipeline in 3 simple steps

Select MySQL as your data source and securely authenticate your account to initiate the data extraction process.

Selecting MySQL as the data source in Renta.
1Connect your source

Select MySQL as your data source and securely authenticate your account to initiate the data extraction process.

Selecting MySQL as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the MySQL API

Renta supports 6 methods of data export using the MySQL API.

Databases

Represents the collection of databases managed by the MySQL server. Contains metadata about each database, including its name and associated schemas.

Tables

Provides access to the structure and metadata of tables within a database, such as table names, columns, data types, indexes, and constraints.

Rows

Enables retrieval, insertion, updating, and deletion of individual records (rows) within a specified table. Contains the actual data stored in the database.

Users

Manages user accounts and their permissions. Includes information about usernames, authentication details, and access privileges.

Queries

Allows execution of SQL statements for data manipulation and retrieval, supporting operations such as SELECT, INSERT, UPDATE, and DELETE.

Indexes

Provides metadata and management capabilities for indexes, which optimize query performance on tables by enabling faster data retrieval.

Use cases

Unlock actionable MySQL insights

  • Sync MySQL customer data to Redshift for unified churn analysis and retention insights
  • Aggregate product usage logs from MySQL to Redshift for real-time cohort analysis
  • Combine MySQL order data with Redshift marketing spend to optimize ROI by channel
  • Automate daily MySQL sales data loads into Redshift for executive dashboard reporting
  • Merge MySQL support tickets with Redshift NPS scores to identify at-risk accounts
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Use cases: MySQL and Amazon Redshift integration
TEMPLATES

Start quickly with these use case templates

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Google Sheets
Snowflake

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Facebook
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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

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  • Google Ads → Bigquery
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  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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