Top companies trust Airbyte to centralize their Data
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.
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.
Set up a source connector to extract data from in Airbyte
Choose from one of 300+ sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code connector builder.
Configure the connection in Airbyte
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.
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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.
Courier is a notification API built for developers. A courier symbolizes a person or organisation that delivers a message, package or letter from one place or person to another place or person. Generally, a courier provides their courier service on a commercial contract basis; however, some couriers are government or state agency employees. Couriers services using courier software provide electronic proof of delivery and electronic tracking details. Courier service refers to a service where one can transfer messages, packages, and parcels from one place to another.
Courier's API provides access to various types of data that can be used to enhance communication and messaging workflows. The following are the categories of data that can be accessed through Courier's API:
1. User data: This includes information about the users such as their name, email address, phone number, and other relevant details.
2. Message data: This includes the content of the messages sent through Courier, such as text, images, and videos.
3. Notification data: This includes information about the notifications sent through Courier, such as the type of notification, the recipient, and the time it was sent.
4. Delivery data: This includes information about the delivery status of the messages and notifications sent through Courier, such as whether they were successfully delivered or not.
5. Template data: This includes information about the templates used to create messages and notifications, such as the template name, content, and variables.
6. Event data: This includes information about the events triggered by the users, such as sign-ups, logins, and other actions.
Overall, Courier's API provides access to a wide range of data that can be used to create personalized and effective communication workflows.
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 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.
Courier is a notification API built for developers. A courier symbolizes a person or organisation that delivers a message, package or letter from one place or person to another place or person. Generally, a courier provides their courier service on a commercial contract basis; however, some couriers are government or state agency employees. Couriers services using courier software provide electronic proof of delivery and electronic tracking details. Courier service refers to a service where one can transfer messages, packages, and parcels from one place to another.
Courier's API provides access to various types of data that can be used to enhance communication and messaging workflows. The following are the categories of data that can be accessed through Courier's API:
1. User data: This includes information about the users such as their name, email address, phone number, and other relevant details.
2. Message data: This includes the content of the messages sent through Courier, such as text, images, and videos.
3. Notification data: This includes information about the notifications sent through Courier, such as the type of notification, the recipient, and the time it was sent.
4. Delivery data: This includes information about the delivery status of the messages and notifications sent through Courier, such as whether they were successfully delivered or not.
5. Template data: This includes information about the templates used to create messages and notifications, such as the template name, content, and variables.
6. Event data: This includes information about the events triggered by the users, such as sign-ups, logins, and other actions.
Overall, Courier's API provides access to a wide range of data that can be used to create personalized and effective communication workflows.
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 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.
Courier is a notification API built for developers. A courier symbolizes a person or organisation that delivers a message, package or letter from one place or person to another place or person. Generally, a courier provides their courier service on a commercial contract basis; however, some couriers are government or state agency employees. Couriers services using courier software provide electronic proof of delivery and electronic tracking details. Courier service refers to a service where one can transfer messages, packages, and parcels from one place to another.
Courier's API provides access to various types of data that can be used to enhance communication and messaging workflows. The following are the categories of data that can be accessed through Courier's API:
1. User data: This includes information about the users such as their name, email address, phone number, and other relevant details.
2. Message data: This includes the content of the messages sent through Courier, such as text, images, and videos.
3. Notification data: This includes information about the notifications sent through Courier, such as the type of notification, the recipient, and the time it was sent.
4. Delivery data: This includes information about the delivery status of the messages and notifications sent through Courier, such as whether they were successfully delivered or not.
5. Template data: This includes information about the templates used to create messages and notifications, such as the template name, content, and variables.
6. Event data: This includes information about the events triggered by the users, such as sign-ups, logins, and other actions.
Overall, Courier's API provides access to a wide range of data that can be used to create personalized and effective communication workflows.
1. First, navigate to the Airbyte Connector Marketplace and search for the Courier source connector.
2. Click on the Courier source connector and select "Create a new connection".
3. Enter a name for your connection and click "Next".
4. Enter your Courier API key and secret key in the appropriate fields.
5. Select the Courier environment you want to connect to (e.g. production or staging).
6. Choose the data you want to replicate by selecting the appropriate tables and fields.
7. Test the connection to ensure that the credentials are correct and the connection is successful.8. Once the connection is successful, save the connection and start replicating data from Courier to your destination.
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.
