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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 ClickHouse

ETL MySQL data to ClickHouse

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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 ClickHouse, enabling fast, unified analytics for marketing and product teams.
Enjoy automated, secure, and always up-to-date reporting in your own data warehouse with zero manual effort.

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, such as its name, character set, and collation.

Tables

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

Rows

Enables querying, inserting, updating, and deleting of individual records within a specified table, supporting CRUD operations on table data.

Users

Manages user accounts and their associated privileges, allowing for the creation, modification, and deletion of users as well as the assignment of access rights.

Schemas

Describes the organizational structure of databases, including tables, views, stored procedures, and relationships among objects.

Queries

Facilitates the execution of SQL statements, such as SELECT, INSERT, UPDATE, and DELETE, enabling data retrieval and manipulation across databases.

Use cases

Unlock actionable MySQL insights

  • Sync MySQL customer data to ClickHouse for instant cohort analysis
  • Aggregate web event logs from MySQL for real-time campaign ROI in ClickHouse
  • Combine MySQL transactions with ClickHouse analytics to detect revenue trends
  • Monitor product inventory in MySQL and visualize stock levels in ClickHouse dashboards
  • Merge MySQL order history with ClickHouse to forecast sales by region
  • Enrich MySQL user profiles with ClickHouse behavioral insights for targeted upselling
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Use cases: MySQL and ClickHouse integration
TEMPLATES

Start quickly with these use case templates

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Google Sheets
Snowflake

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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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