How to load data from Lokalise to Redshift

Learn how to use Airbyte to synchronize your Lokalise data into Redshift within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Lokalise connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Redshift for your extracted Lokalise data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Lokalise to Redshift in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Export Data from Lokalise

Begin by exporting the data from Lokalise. Log in to your Lokalise account, navigate to the project you want to export, and select the export option. Choose a suitable format, such as JSON or CSV, and download the data to your local machine. Ensure the data is well-structured and ready for processing.

Ensure you have the necessary tools installed on your local machine. You will need Python (with libraries such as Pandas for data manipulation) and the AWS Command Line Interface (CLI) to interact with Redshift. This setup allows you to process and transfer data effectively.

Use a script (e.g., in Python) to process the Lokalise data and prepare it for uploading to Redshift. This may involve cleaning the data, converting it to a format suitable for Redshift (such as CSV), and ensuring the data types match the Redshift table schema. Utilize Pandas for data cleaning and formatting.

Log in to your AWS account and create an S3 bucket. This bucket will temporarily store the data before loading it into Redshift. Configure appropriate permissions to allow Redshift to access this bucket. Note the bucket name and region, as you will need them later.

Use the AWS CLI to upload the prepared data files to your S3 bucket. The command to upload a file is typically `aws s3 cp s3:///`. Verify that the data has been successfully uploaded by checking the S3 console.

Ensure your Redshift cluster is up and running. Set up the necessary database and table schema to match the structure of the data you are importing. Use SQL commands via the Redshift Query Editor or any SQL client to create the tables.

Use the `COPY` command in Redshift to load the data from S3 into your Redshift tables. The command format is `COPY FROM 's3:///' CREDENTIALS 'aws_access_key_id=;aws_secret_access_key=' CSV;`. Ensure the IAM roles and permissions are set correctly for Redshift to access the S3 bucket.

By following these steps, you can efficiently move data from Lokalise to Amazon Redshift without relying on third-party connectors or integrations.