How to load data from Retently to Postgres destination
Learn how to use Airbyte to synchronize your Retently data into Postgres destination within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Extract Data from Retently
Begin by accessing your Retently account. Use Retently's API to extract the data you need. Familiarize yourself with the API documentation on Retently's website to understand how to authenticate and make requests. Typically, you'll use HTTP GET requests to retrieve data in JSON format.
Step 2: Set Up Your Environment
Prepare your local environment for data processing. Ensure you have Python (or another programming language) installed, along with necessary libraries such as `requests` for making HTTP calls and `json` for handling JSON data. This setup will allow you to interact with Retently’s API and process the data.
Step 3: Write a Script to Fetch Data
Write a script in Python to automate the data extraction process. Use the `requests` library to make API calls to Retently. Parse the JSON response to extract the relevant data fields. Store this data in a structured format such as a list of dictionaries for easier manipulation.
Step 4: Transform Data for PostgreSQL
Depending on your PostgreSQL schema, you may need to transform the data into a SQL-friendly format. This involves mapping JSON fields to table columns, formatting dates, or converting data types as needed. Create a transformation function in your script to handle these conversions.
Step 5: Set Up PostgreSQL Database
Ensure you have PostgreSQL installed and a database created to store the Retently data. Use `psql` or another PostgreSQL client to create necessary tables that match the structure of the transformed data. Define appropriate data types and constraints for each column.
Step 6: Establish Database Connection
Use a PostgreSQL client library such as `psycopg2` in Python to connect to your database. This library allows you to execute SQL commands from your script. Establish a connection using your database credentials and prepare to insert data.
Step 7: Insert Data into PostgreSQL
Iterate over the transformed data set and construct SQL `INSERT` statements for each record. Use `psycopg2` to execute these statements, ensuring data is inserted into the appropriate tables. Handle any exceptions or errors in your script to maintain data integrity. Once all data is inserted, close the database connection.
By following these steps, you can efficiently transfer data from Retently to a PostgreSQL database without relying on third-party connectors or integrations.