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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
PostgreSQL to Amazon S3

ETL PostgreSQL data to Amazon S3

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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 for scalability and reliability.
Renta Marketing ELT seamlessly transfers your PostgreSQL data to Amazon S3, enabling fast, automated, and secure data integration for advanced analytics.
Unlock deeper marketing insights and empower your team with up-to-date, actionable data in your cloud storage.

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 structured data. This endpoint allows users to retrieve metadata and manage table schemas.

Rows

Provides access to the individual records within a specified table. This method enables querying, inserting, updating, or deleting data entries.

Schemas

Organizes database objects such as tables, views, and functions into logical groups. This endpoint helps users manage and retrieve schema-level metadata.

Views

Represents virtual tables created by querying one or more tables. This method allows users to access and manage saved query results for simplified data analysis.

Indexes

Contains metadata about indexes, which optimize query performance on tables. This endpoint enables users to retrieve, create, or manage index definitions.

Functions

Provides access to stored procedures and functions within the database. This method allows users to manage and execute reusable logic for data processing.

Sequences

Manages auto-incrementing numeric values, often used for primary keys. This endpoint allows users to retrieve and control sequence state and configuration.

Use cases

Unlock actionable PostgreSQL insights

  • Archive historical PostgreSQL data to S3 for cost-effective long-term storage
  • Sync sales transaction logs from PostgreSQL to S3 for advanced analytics
  • Automate daily PostgreSQL backups to S3 to ensure data durability and compliance
  • Enable cross-team data sharing by exporting PostgreSQL tables to S3 buckets
  • Feed S3-stored data into BI tools for faster marketing campaign analysis
  • Aggregate user activity logs from PostgreSQL to S3 for scalable reporting
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Use cases: PostgreSQL and Amazon S3 integration
TEMPLATES

Start quickly with these use case templates

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Automate extraction from 100+ connections. 99.9% Uptime SLA.

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