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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 SQL Server

ETL MySQL data to SQL Server

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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 for managing large volumes of structured data.
Renta Marketing ELT seamlessly transfers your MySQL data to SQL Server, enabling unified analytics and faster reporting for your marketing and product teams.
Enjoy automated, secure data syncs that empower data-driven decisions without 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 within a MySQL server instance. 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 selected database, including table names, columns, data types, indexes, and constraints.

Rows

Enables retrieval, insertion, updating, and deletion of individual records (rows) 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 and the assignment of access rights.

Schemas

Describes the organizational structure of a database, including tables, views, stored procedures, and relationships between objects.

Queries

Executes SQL statements against the database, supporting both data manipulation and data definition operations, and returns query results or status messages.

Use cases

Unlock actionable MySQL insights

  • Sync customer order data from MySQL to SQL Server for unified sales reporting
  • Combine website analytics from MySQL with SQL Server CRM data for deeper insights
  • Automate lead scoring by merging marketing touchpoints from both databases
  • Enable real-time inventory tracking by integrating MySQL e-commerce and SQL Server ERP
  • Streamline financial forecasting by consolidating revenue data across both platforms
  • Detect anomalies in transaction data by cross-referencing MySQL and SQL Server logs
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Use cases: MySQL and SQL Server integration
TEMPLATES

Start quickly with these use case templates

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Google BigQuery

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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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  • Marketing ETL
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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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