Sendinblue is a digital marketing platform offering email marketing, SMS campaigns, chat, and CRM tools. It helps businesses automate and optimize their customer engagement efforts.
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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 400 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 no-code connector builder.
Configure the connection in Airbyte
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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
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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.
The smartest and most intuitive platform is Sendinblue for growing businesses. Sendinblue is a comparatively easy tool to learn. Sendinblue only supports full refresh syncs meaning that each time you use the connector it will sync all available records from scratch. Sendinblue is a marketing tool that stands out from its competitors and this is also an email marketing solution for small and medium-sized businesses that want to send and automate email marketing campaigns.
Sendinblue's API provides access to a wide range of data related to email marketing and automation. The following are the categories of data that can be accessed through Sendinblue's API: 1. Contacts: This includes data related to the contacts in your Sendinblue account, such as their email addresses, names, and other contact information. 2. Campaigns: This includes data related to the email campaigns you have created in Sendinblue, such as the subject line, content, and delivery statistics. 3. Automation: This includes data related to the automated workflows you have set up in Sendinblue, such as the triggers, actions, and performance metrics. 4. Transactional emails: This includes data related to the transactional emails you have sent through Sendinblue, such as the recipient, content, and delivery status. 5. Reports: This includes data related to the performance of your email marketing efforts, such as open rates, click-through rates, and conversion rates. 6. Lists: This includes data related to the lists you have created in Sendinblue, such as the number of contacts in each list and their segmentation criteria. Overall, Sendinblue's API provides access to a comprehensive set of data that can help businesses optimize their email marketing and automation strategies.
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.
The smartest and most intuitive platform is Sendinblue for growing businesses. Sendinblue is a comparatively easy tool to learn. Sendinblue only supports full refresh syncs meaning that each time you use the connector it will sync all available records from scratch. Sendinblue is a marketing tool that stands out from its competitors and this is also an email marketing solution for small and medium-sized businesses that want to send and automate email marketing campaigns.
Sendinblue's API provides access to a wide range of data related to email marketing and automation. The following are the categories of data that can be accessed through Sendinblue's API: 1. Contacts: This includes data related to the contacts in your Sendinblue account, such as their email addresses, names, and other contact information. 2. Campaigns: This includes data related to the email campaigns you have created in Sendinblue, such as the subject line, content, and delivery statistics. 3. Automation: This includes data related to the automated workflows you have set up in Sendinblue, such as the triggers, actions, and performance metrics. 4. Transactional emails: This includes data related to the transactional emails you have sent through Sendinblue, such as the recipient, content, and delivery status. 5. Reports: This includes data related to the performance of your email marketing efforts, such as open rates, click-through rates, and conversion rates. 6. Lists: This includes data related to the lists you have created in Sendinblue, such as the number of contacts in each list and their segmentation criteria. Overall, Sendinblue's API provides access to a comprehensive set of data that can help businesses optimize their email marketing and automation strategies.
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.
The smartest and most intuitive platform is Sendinblue for growing businesses. Sendinblue is a comparatively easy tool to learn. Sendinblue only supports full refresh syncs meaning that each time you use the connector it will sync all available records from scratch. Sendinblue is a marketing tool that stands out from its competitors and this is also an email marketing solution for small and medium-sized businesses that want to send and automate email marketing campaigns.
Sendinblue's API provides access to a wide range of data related to email marketing and automation. The following are the categories of data that can be accessed through Sendinblue's API: 1. Contacts: This includes data related to the contacts in your Sendinblue account, such as their email addresses, names, and other contact information. 2. Campaigns: This includes data related to the email campaigns you have created in Sendinblue, such as the subject line, content, and delivery statistics. 3. Automation: This includes data related to the automated workflows you have set up in Sendinblue, such as the triggers, actions, and performance metrics. 4. Transactional emails: This includes data related to the transactional emails you have sent through Sendinblue, such as the recipient, content, and delivery status. 5. Reports: This includes data related to the performance of your email marketing efforts, such as open rates, click-through rates, and conversion rates. 6. Lists: This includes data related to the lists you have created in Sendinblue, such as the number of contacts in each list and their segmentation criteria. Overall, Sendinblue's API provides access to a comprehensive set of data that can help businesses optimize their email marketing and automation strategies.
1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu. 2. Click on the "Create a new source" button and select "Sendinblue" from the list of available connectors. 3. Enter a name for your Sendinblue source and click on "Next". 4. Enter your Sendinblue API key in the "API Key" field. You can find your API key in your Sendinblue account under "SMTP & API" > "API" > "V3 API Key". 5. Click on "Test" to verify that your API key is valid and that Airbyte can connect to your Sendinblue account. 6. Once the test is successful, click on "Next" to proceed to the next step. 7. Select the Sendinblue objects that you want to replicate in Airbyte. You can choose from contacts, campaigns, and lists. 8. Click on "Next" to proceed to the final step. 9. Review the configuration details and click on "Create Source" to save your Sendinblue source in Airbyte. 10. Your Sendinblue source is now ready to use in Airbyte. You can create a new destination to replicate your data to or use an existing one.
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.
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