Warehouses and Lakes
Marketing Analytics

How to load data from Lokalise to Snowflake destination

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

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Lokalise as a source connector (using Auth, or usually an API key)
  2. set up Snowflake destination as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Lokalise

Using Lokalise, you can manage your localizations in an easy, affordable, and modern way. It is a cloud-based system that allows you to manage localizations and translations efficiently. Especially when utilizing the continuous localization capabilities, it makes your website, app, game, or any other project global, vibrant, and engaging. The tool localise belongs to the Translation Service category. You need a platform that brings together all stakeholders and processes to make localization successful.

What is Snowflake destination

A cloud data platform, Snowflake Data Cloud provides a warehouse-as-a-service built specifically for the cloud. The Snowflake platform is designed to empower many types of data workloads, and offers secure, immediate, governed access to a comprehensive network of data. Snowflake’s innovative technology goes above the capabilities of the ordinary database, supplying users all the functionality of database storage, query processing, and cloud services in one package.

Integrate Lokalise with Snowflake destination in minutes

Try for free now

Prerequisites

  1. A Lokalise account to transfer your customer data automatically from.
  2. A Snowflake destination account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Lokalise and Snowflake destination, for seamless data migration.

When using Airbyte to move data from Lokalise to Snowflake destination, it extracts data from Lokalise using the source connector, converts it into a format Snowflake destination can ingest using the provided schema, and then loads it into Snowflake destination via the destination connector. This allows businesses to leverage their Lokalise data for advanced analytics and insights within Snowflake destination, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Lokalise as a source connector

1. First, navigate to the Lokalise source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Lokalise API token in the "API Token" field.
5. Enter your project ID in the "Project ID" field.
6. Select the desired sync mode: "Full Refresh" or "Incremental".
7. Choose the tables you want to sync by selecting the checkboxes next to each table.
8. Click "Test" to ensure that your credentials are correct and the connection is successful.
9. If the test is successful, click "Create Connection" to save your settings and start syncing your data.

 Note: It is important to ensure that your Lokalise API token has the necessary permissions to access the data you want to sync. Refer to the Lokalise API documentation for more information on how to generate an API token and set permissions.

Step 2: Set up Snowflake destination as a destination connector

1. First, navigate to the Airbyte website and log in to your account.

2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.

3. Scroll down until you find the Snowflake Data Cloud destination connector and click on it.

4. You will be prompted to enter your Snowflake account information, including your account name, username, and password.

5. After entering your account information, click on the "Test" button to ensure that the connection is successful.

6. If the test is successful, click on the "Save" button to save your Snowflake Data Cloud destination connector settings.

7. You can now use the Snowflake Data Cloud destination connector to transfer data from your Airbyte sources to your Snowflake account.

8. To set up a data transfer, navigate to the "Sources" tab on the left-hand side of the screen and select the source you want to transfer data from.

9. Click on the "Create New Connection" button and select the Snowflake Data Cloud destination connector as your destination.

10. Follow the prompts to set up your data transfer, including selecting the tables or data sources you want to transfer and setting up any necessary transformations or mappings.

11. Once you have set up your data transfer, click on the "Run" button to start the transfer process.

Step 3: Set up a connection to sync your Lokalise data to Snowflake destination

Once you've successfully connected Lokalise as a data source and Snowflake destination as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Lokalise from the dropdown list of your configured sources.
  3. Select your destination: Choose Snowflake destination from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Lokalise objects you want to import data from towards Snowflake destination. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Lokalise to Snowflake destination according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Snowflake destination data warehouse is always up-to-date with your Lokalise data.

Use Cases to transfer your Lokalise data to Snowflake destination

Integrating data from Lokalise to Snowflake destination provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Snowflake destination’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Lokalise data, extracting insights that wouldn't be possible within Lokalise alone.
  2. Data Consolidation: If you're using multiple other sources along with Lokalise, syncing to Snowflake destination allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Lokalise has limits on historical data. Syncing data to Snowflake destination allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Snowflake destination provides robust data security features. Syncing Lokalise data to Snowflake destination ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Snowflake destination can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Lokalise data.
  6. Data Science and Machine Learning: By having Lokalise data in Snowflake destination, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Lokalise provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Snowflake destination, providing more advanced business intelligence options. If you have a Lokalise table that needs to be converted to a Snowflake destination table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Lokalise account as an Airbyte data source connector.
  2. Configure Snowflake destination as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Lokalise to Snowflake destination after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Frequently Asked Questions

What data can you extract from Lokalise?

Lokalise's API provides access to a wide range of data related to localization and translation management. The following are the categories of data that can be accessed through Lokalise's API:  

1. Projects: Information related to the projects created in Lokalise, including project ID, name, description, and project settings.  
2. Keys: Data related to the keys used in the localization process, including key ID, name, description, and translation status.  
3. Translations: Information related to the translations of the keys, including translation ID, language, and translation text.  
4. Teams: Data related to the teams working on the localization projects, including team ID, name, and team members.  
5. Files: Information related to the files used in the localization process, including file ID, name, and file format.  
6. Comments: Data related to the comments made on the keys and translations, including comment ID, author, and comment text.  
7. Tags: Information related to the tags used to categorize the keys and translations, including tag ID, name, and tag color.  

Overall, Lokalise's API provides comprehensive access to the data required for efficient localization and translation management.

What data can you transfer to Snowflake destination?

You can transfer a wide variety of data to Snowflake destination. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Lokalise to Snowflake destination?

The most prominent ETL tools to transfer data from Lokalise to Snowflake destination include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Lokalise and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Snowflake destination and other databases, data warehouses and data lakes, enhancing data management capabilities.