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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
PostgreSQL to ClickHouse

ETL PostgreSQL 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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PostgreSQL is a powerful open-source database trusted by businesses worldwide.
Renta Marketing ELT seamlessly moves your PostgreSQL data to ClickHouse, enabling fast, automated, and secure analytics.
Unlock deeper marketing insights and empower your team with up-to-date, actionable data in your own warehouse.

Set up your ELT pipeline in 3 simple steps

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

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

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

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

Renta supports 7 methods of data export using the PostgreSQL API.

Tables

Represents the core data storage structures in PostgreSQL, containing rows and columns for storing structured data. Each table defines a specific dataset, such as users, transactions, or products.

Views

Virtual tables that present data from one or more tables through a predefined SQL query. Views allow users to simplify complex queries and restrict access to specific data.

Schemas

Logical containers that organize and group related database objects, such as tables, views, and functions, within a PostgreSQL database. Schemas help manage permissions and maintain data structure clarity.

Indexes

Database objects that improve query performance by providing efficient access paths to table data. Indexes are commonly used on columns that are frequently searched or sorted.

Functions

Reusable SQL or procedural code blocks that perform operations or calculations on data. Functions can encapsulate business logic and are often used to automate repetitive tasks.

Sequences

Objects that generate unique numeric values, typically used for auto-incrementing primary keys in tables. Sequences ensure the uniqueness and consistency of identifier fields.

Triggers

Procedures that are automatically executed in response to specific events on a table or view, such as inserts, updates, or deletes. Triggers are used to enforce data integrity and automate workflows.

Use cases

Unlock actionable PostgreSQL insights

  • Sync customer orders from PostgreSQL to ClickHouse for instant sales trend analysis
  • Aggregate website event logs in ClickHouse for real-time user behavior insights
  • Combine transactional and analytics data to optimize marketing spend by channel
  • Track product inventory changes and forecast demand using ClickHouse dashboards
  • Enable rapid cohort analysis by merging user profiles from PostgreSQL with events in ClickHouse
  • Automate churn prediction by analyzing historical purchase data across both platforms
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Use cases: PostgreSQL and ClickHouse integration
TEMPLATES

Start quickly with these use case templates

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