How to load data from CallRail to Firebolt
Learn how to use Airbyte to synchronize your CallRail 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 CallRail
Start by logging into your CallRail account. Navigate to the reporting section where you can export data. Use the export feature to download the necessary data as a CSV or Excel file. Make sure to select the relevant data fields and time range required for your analysis.
Step 2: Prepare the Data for Upload
Once you have the data exported, open the file in a spreadsheet editor like Microsoft Excel or Google Sheets. Examine the data for any inconsistencies or errors. Clean and format the data, ensuring it is structured correctly for uploading to Firebolt, such as removing duplicates or fixing incorrect data types.
Step 3: Install Firebolt CLI
To load data into Firebolt, you need to use the Firebolt Command Line Interface (CLI). Visit the Firebolt documentation to download and install the Firebolt CLI on your local machine. Follow the installation instructions for your operating system.
Step 4: Connect to Firebolt via CLI
Open your terminal and use the Firebolt CLI to connect to your Firebolt account. You'll need your Firebolt account credentials, including the username, password, and the database you're accessing. Use the command `firebolt login` to authenticate your session.
Step 5: Create a Table in Firebolt
Before uploading data, a table structure must be defined in Firebolt that matches the structure of your CallRail data. Use SQL commands via the Firebolt CLI to create a new table. Specify the correct data types for each column to ensure compatibility.
Step 6: Upload Data to Firebolt
Use the Firebolt CLI to upload your cleaned and formatted CSV file to the newly created table. Utilize the `COPY` command in Firebolt to import data from your local file system into the Firebolt database. Be sure to specify the correct file path and any necessary settings for the import process.
Step 7: Verify Data Integrity
After the upload is complete, it's crucial to verify that the data in Firebolt matches the original data from CallRail. Run SQL queries to check for the correct number of records and spot-check a few entries to ensure data accuracy. This step ensures that the transfer was successful and that the data is ready for analysis in Firebolt.
By following these steps, you can effectively move data from CallRail to Firebolt without relying on third-party connectors or integrations.