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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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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
Sign up
Renta
Marketing ETL
MySQL to Amazon S3

ETL MySQL data to Amazon S3

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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 transfers your MySQL data to Amazon S3, enabling fast, secure, and automated analytics workflows.
Unlock deeper marketing insights and empower your team with always up-to-date data for smarter decision-making.

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, creation date, and associated users.

Tables

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

Rows

Enables retrieval and manipulation of individual records within a specified table. Contains the actual data stored in each row, mapped to the corresponding columns.

Users

Manages user accounts and their privileges on the MySQL server. Includes details such as usernames, authentication methods, and granted permissions.

Queries

Allows execution of custom SQL statements, including SELECT, INSERT, UPDATE, and DELETE operations. Returns query results or status messages based on the operation performed.

Schema

Provides detailed information about the database schema, including relationships between tables, foreign keys, and other structural metadata.

Use cases

Unlock actionable MySQL insights

  • Automate daily MySQL data backups to Amazon S3 for secure, scalable storage.
  • Sync MySQL customer data to S3 for advanced analytics in AWS tools like Athena.
  • Archive historical order records from MySQL to S3 to optimize database performance.
  • Enable real-time sales dashboarding by streaming MySQL transactions to S3.
  • Share anonymized MySQL datasets via S3 for cross-team marketing analysis.
  • Store MySQL logs in S3 to support compliance audits and long-term retention.
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Use cases: MySQL and Amazon S3 integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

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

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Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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