MySQL is a powerful open-source database trusted by businesses worldwide.
Renta Marketing ELT seamlessly moves your MySQL data to Google BigQuery, enabling advanced analytics and faster reporting for your marketing and product teams.
Enjoy automated, secure, and always up-to-date data pipelines with zero manual effort.
ETL MySQL data to Google BigQuery
Free for 7 days. No credit card required.
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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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.
1Connect your source
Select MySQL as your data source and securely authenticate your account to initiate the data extraction process.
2Identify the destination
3Configure and synchronize
The data structure of the MySQL API
Renta supports 7 methods of data export using the MySQL API.
Databases
Represents the collection of databases managed by the MySQL server. This method allows users to list, create, or delete databases, providing metadata about each database instance.
Tables
Provides access to the tables within a specified database. This method enables users to retrieve table schemas, create new tables, or modify existing ones, including details on columns and data types.
Rows
Enables operations on the data stored within a table, such as querying, inserting, updating, or deleting individual records. This method is essential for managing and manipulating row-level data.
Users
Manages user accounts and their associated privileges. This method allows for the creation, modification, and deletion of users, as well as the assignment of access rights to databases and tables.
Indexes
Handles the creation and management of indexes on tables. This method provides metadata about existing indexes and supports operations to optimize query performance.
Stored Procedures
Facilitates the management of stored procedures within a database. This method allows users to create, modify, or execute reusable SQL routines for complex data operations.
Views
Represents virtual tables based on the result of SQL queries. This method enables the creation, modification, and retrieval of views to simplify data access and reporting.
Use cases
Unlock actionable MySQL insights
- Sync MySQL customer data to BigQuery for unified lifetime value analysis
- Combine order history from MySQL with web analytics in BigQuery to spot churn risks
- Automate daily sales reporting by merging MySQL transactions into BigQuery dashboards
- Enrich MySQL lead data with marketing touchpoints in BigQuery for attribution modeling
- Aggregate product inventory from MySQL in BigQuery to optimize supply chain decisions
- Detect anomalies in MySQL financial records using BigQuery's advanced analytics
TEMPLATES
Start quickly with these use case templates
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.