How to load data from Drift to Firebolt

Learn how to use Airbyte to synchronize your Drift 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

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 Drift 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 Drift 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 Drift 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.

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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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.

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

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: Understand Data Structure in Drift

Begin by examining the data structure within Drift. This involves identifying the types of data you need to move, such as customer interactions, chat histories, and user profiles. Use Drift's API documentation to understand the available data endpoints and the format in which data is stored.

Step 2: Set Up Drift API Access

Obtain the necessary API credentials to access your data on Drift. This usually involves creating an API key or token within your Drift account settings. Ensure that you have the required permissions to read the data you intend to extract.

Step 3: Extract Data from Drift

Write a script or program to extract data from Drift using its API. This can be done using a programming language like Python, where you can use libraries such as `requests` to handle HTTP requests to the Drift API. Paginate through the data if needed to handle large datasets.

Step 4: Transform Data for Firebolt Compatibility

Once data is extracted, transform it into a format that is compatible with Firebolt's ingestion process. Firebolt typically accepts data in formats like CSV or Parquet. Ensure that the data types and schemas are consistent with Firebolt's requirements.

Step 5: Prepare Firebolt Environment

Set up your Firebolt environment by creating the necessary tables and schemas to receive the data. Use Firebolt's SQL capabilities to define table structures that match the transformed data. Ensure the Firebolt account has appropriate permissions for data ingestion.

Step 6: Load Data into Firebolt

Use Firebolt's data ingestion capabilities to load the transformed data. This can typically be done using SQL COPY commands to load data from files stored in an accessible location, like an S3 bucket or a local storage system. Ensure the data is correctly mapped to the Firebolt tables.

Step 7: Verify Data Integrity

After loading the data, perform checks to ensure that the data integrity is maintained. This involves running queries in Firebolt to count records, check for data consistency, and ensure that no data has been lost or corrupted during the transfer process. Make adjustments as necessary to resolve any discrepancies.

By following these steps, you can effectively move data from Drift to Firebolt without relying on third-party connectors or integrations.