Trusted by data-driven companies
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.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“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.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Commercetools is a cloud-based headless commerce platform that provides APIs to power e-commerce sales and similar functions for large businesses. Both the company and platform are called Commercetools. The company is headquartered in Munich, Germany with additional offices in Berlin, Germany; Jena, Germany; Amsterdam, Netherlands; London, England and etc. Through its investor REWE Group, it is associated with the omnichannel order fulfillment software solutions providers fulfillmenttools and the payment transactions provider paymenttools. Its clients include Audi, Bang & Olufsen, Carhartt and Nuts.com.
Commercetools's API provides access to a wide range of data related to e-commerce and retail operations. The following are the categories of data that can be accessed through Commercetools's API:
1. Product data: This includes information about products such as name, description, price, availability, and images.
2. Customer data: This includes information about customers such as name, email address, shipping address, and order history.
3. Order data: This includes information about orders such as order number, customer information, product information, and shipping details.
4. Inventory data: This includes information about inventory levels, stock availability, and stock locations.
5. Payment data: This includes information about payment methods, payment status, and transaction details.
6. Shipping data: This includes information about shipping methods, shipping rates, and delivery status.
7. Tax data: This includes information about tax rates, tax rules, and tax exemptions.
8. Analytics data: This includes information about website traffic, customer behavior, and sales performance.
Overall, Commercetools's API provides access to a comprehensive set of data that can help businesses optimize their e-commerce and retail operations.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
