How to load data from Looker to Firebolt
Learn how to use Airbyte to synchronize your Looker data into Firebolt 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: Export Data from Looker
Before moving data, you need to export it from Looker. Go to the dashboard or explore section in Looker where your data is displayed. Use the "Download" option to export the data in a format supported by Firebolt, such as CSV or JSON.
Step 2: Prepare Firebolt Environment
Ensure that your Firebolt environment is ready to receive new data. Log into your Firebolt account and create a database and table structure that matches the schema of your data from Looker. Use the Firebolt web interface or SQL commands to set up the database schema.
Step 3: Transform Data Format (if necessary)
Depending on the format you exported from Looker, you may need to transform the data to ensure compatibility with Firebolt. Use a tool like Python or a simple script to clean, reformat, or adjust data types as necessary.
Step 4: Upload Data to Firebolt Storage
Firebolt requires data to be uploaded to an external storage location before ingestion. Use an Amazon S3 bucket or another supported storage service to upload your transformed data file. Make sure the data is accessible to Firebolt for the next steps.
Step 5: Create External Table in Firebolt
In Firebolt, create an external table that points to the location of your uploaded data. This step allows Firebolt to read the data directly from your storage service. Use SQL commands in Firebolt to define the external table with the correct schema and data source location.
Step 6: Load Data into Firebolt
Once the external table is set up, use the `INSERT INTO` command to load data from the external table into your Firebolt database table. This step involves executing a SQL command to transfer data from the external table to the permanent table in your Firebolt database.
Step 7: Verify Data Integrity
After loading the data, perform checks to ensure data integrity and completeness. Run queries in Firebolt to validate that all data has been imported correctly and matches the original data from Looker. Adjust any discrepancies by revisiting the previous steps as needed.
By following these steps, you can manually transfer data from Looker to Firebolt without relying on third-party tools or connectors.