How to load data from Salesforce to Firebolt

Learn how to use Airbyte to synchronize your Salesforce data into Firebolt within minutes.

Try Airbyte Cloud Manual method (the hard way)

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

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Salesforce connector in Airbyte

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

Set up Firebolt for your extracted Salesforce 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 Salesforce to Firebolt 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.

Try Airbyte Cloud Manual method (the hard way)

Take a virtual tour

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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Talk to our team

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

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.

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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.

Try Airbyte Cloud Manual method (the hard way)

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

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

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Chase Zieman

Chief Data Officer

“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.”

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Rupak Patel

Operational Intelligence Manager

"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."

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How to Sync to Manually

Step 1: Export Data from Salesforce

To begin, log in to your Salesforce account and navigate to the "Data Export" tool under Setup. Choose the specific objects and fields you want to export. Select a suitable format, such as CSV, for the export. Initiate the export process and download the data to your local machine once it's ready.

Step 2: Prepare Data for Transformation

Once you have your Salesforce data in CSV format, review and clean the data as needed. Make sure that the data is consistent and free of errors. You may need to use a spreadsheet tool like Excel or Google Sheets to remove unnecessary columns and rows and to ensure all dates, numbers, and text fields are in the correct format.

Step 3: Design the Firebolt Schema

Before importing data into Firebolt, define the schema that will accommodate the Salesforce data. This involves setting up tables and fields in Firebolt to match the structure and data types of the Salesforce data. Use the Firebolt management console to create tables with appropriate data types for each column.

Step 4: Transform Data to Match Firebolt Schema

Use a tool like Python, SQL, or a spreadsheet application to transform your CSV data so it matches the Firebolt schema. This might involve renaming columns, changing data formats, or splitting/merging fields. Ensure that the transformed data is saved in a format compatible with Firebolt, typically CSV.

Step 5: Upload Data to Firebolt

Log into your Firebolt account and navigate to the data upload section. Use Firebolt�s web interface or command-line tools to upload the transformed CSV files into the previously created tables. Follow the prompts to specify delimiters and other settings that match your CSV file format.

Step 6: Verify Data Integrity

After uploading, verify that the data in Firebolt matches the data exported from Salesforce. Run SQL queries to check row counts, spot-check data in key fields, and ensure that all records have been imported correctly. This step is crucial to ensure that no data is lost or corrupted during the transfer.

Step 7: Optimize and Index Data in Firebolt

Once data integrity is confirmed, optimize the performance of your Firebolt database by creating appropriate indexes and setting up any necessary partitioning. This will improve query performance and ensure efficient data retrieval. Use Firebolt�s optimization tools and documentation to guide this process.
By following these steps, you will successfully move data from Salesforce to Firebolt without relying on third-party connectors.