Connectors

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Postgres

Data replication

Sync Postgres data anywhere.

An object-relational database management system, PostgreSQL is able to handle a wide range of workloads, supports multiple standards, and is cross-platform, running on numerous operating systems including Microsoft Windows, Solaris, Linux, and FreeBSD. It is highly extensible, and supports more than 12 procedural languages, Spatial data support, Gin and GIST Indexes, and more. Many webs, mobile, and analytics applications use PostgreSQL as the primary data warehouse or data store.

  • Certified
  • Generally available
Sync Postgres dataRead the docs
Postgres

One connector

Everything Postgres can do in Airbyte

  • Sync to your warehouse

    Land Postgres data in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate Postgres once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Postgres connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Postgres

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version3.8.4
  • Release stageGenerally available

Sync capabilities

  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.
  2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.
  3. Create a new database in PostgreSQL that will be used to store the replicated data.
  4. Obtain the name of the database you just created.
  5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".
  6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.
  7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.
  8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.
  9. Save your configuration and start the replication process.
  10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

Authentication

Authenticate Postgres once

  • Password

    The password associated with the username.

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Common questions

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ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

PostgreSQL gives access to a wide range of data types, including:

1. Numeric data types: This includes integers, floating-point numbers, and decimal numbers.

2. Character data types: This includes strings, text, and character arrays.

3. Date and time data types: This includes dates, times, and timestamps.

4. Boolean data types: This includes true/false values.

5. Network address data types: This includes IP addresses and MAC addresses.

6. Geometric data types: This includes points, lines, and polygons.

7. Array data types: This includes arrays of any of the above data types.

8. JSON and JSONB data types: This includes JSON objects and arrays.

9. XML data types: This includes XML documents.

10. Composite data types: This includes user-defined data types that can contain multiple fields of different data types.

Overall, PostgreSQL's API provides access to a wide range of data types, making it a versatile and powerful tool for data management and analysis.

1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.

2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.

3. Create a new database in PostgreSQL that will be used to store the replicated data.

4. Obtain the name of the database you just created.

5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".

6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.

7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.

8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.

9. Save your configuration and start the replication process.

10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Postgres data today

Free for 14 days on Airbyte Cloud. Set up the Postgres connector once and let Airbyte keep it in sync.

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