ETL PostgreSQL data to Snowflake

Renta ELT is a simple way to create data pipelines in minutes. Not months.

Trusted by teams at

PostgreSQL is a powerful open-source database trusted by businesses worldwide.
Renta Marketing ELT seamlessly moves your PostgreSQL data to Snowflake, enabling advanced analytics and faster reporting without manual effort.
Unlock deeper marketing insights and empower your team to make data-driven decisions with confidence.

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.

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 units in PostgreSQL, containing structured rows and columns for storing records of a specific entity or dataset.

Views

Virtual tables generated by SQL queries, allowing users to access and present data from one or more tables in a customized format without duplicating data.

Schemas

Logical containers that organize and group database objects such as tables, views, and functions, helping manage data access and structure within a database.

Indexes

Data structures that improve the speed of data retrieval operations on tables by providing efficient access paths based on specified columns.

Functions

Reusable routines written in SQL or procedural languages, enabling automation of complex operations and business logic within the database.

Sequences

Special database objects used to generate unique numeric identifiers, commonly employed for auto-incrementing primary keys.

Triggers

Procedures that are automatically executed in response to specific events on a table or view, such as insert, update, or delete operations.

Use cases

Unlock actionable PostgreSQL insights

Sync customer purchase data from PostgreSQL to Snowflake for advanced cohort analysis
Aggregate web analytics from PostgreSQL and run churn prediction models in Snowflake
Centralize product usage logs in Snowflake to optimize feature adoption strategies
Combine PostgreSQL order history with Snowflake BI for real-time sales forecasting
Automate marketing attribution by merging campaign data from PostgreSQL into Snowflake
Streamline compliance reporting by consolidating transactional data in Snowflake