SurveyCTO is a secure, mobile data collection platform ideal for surveys and research, offering real-time data validation, offline capabilities, and seamless integration with other tools.
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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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The only open solution empowering data teams to meet growing business demands in the new AI era.
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.
SurveyCTO is a data collection platform that enables researchers, development professionals, and organizations to collect high-quality data using mobile devices. It offers a range of features such as offline data collection, real-time monitoring, and customizable forms that can be used for surveys, assessments, and evaluations. The platform also includes advanced data management tools, such as data cleaning and analysis, to help users make sense of their data. SurveyCTO is designed to be user-friendly and accessible, with support for multiple languages and a range of mobile devices. It is used by organizations around the world to collect data for research, monitoring, and evaluation purposes.
SurveyCTO's API provides access to a wide range of data related to surveys and data collection. The following are the categories of data that can be accessed through SurveyCTO's API:
1. Survey metadata: This includes information about the survey such as the survey name, form ID, and version.
2. Form data: This includes the data collected through the survey, such as responses to questions, timestamps, and geolocation data.
3. User data: This includes information about the users who have access to the survey, such as their usernames, roles, and permissions.
4. Device data: This includes information about the devices used to collect data, such as the device ID, model, and operating system.
5. Audit data: This includes information about the actions taken on the survey, such as when it was created, modified, or deleted.
6. Error data: This includes information about any errors that occurred during data collection, such as missing data or invalid responses.
Overall, SurveyCTO's API provides a comprehensive set of data that can be used to analyze and improve data collection processes.
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.
SurveyCTO is a data collection platform that enables researchers, development professionals, and organizations to collect high-quality data using mobile devices. It offers a range of features such as offline data collection, real-time monitoring, and customizable forms that can be used for surveys, assessments, and evaluations. The platform also includes advanced data management tools, such as data cleaning and analysis, to help users make sense of their data. SurveyCTO is designed to be user-friendly and accessible, with support for multiple languages and a range of mobile devices. It is used by organizations around the world to collect data for research, monitoring, and evaluation purposes.
SurveyCTO's API provides access to a wide range of data related to surveys and data collection. The following are the categories of data that can be accessed through SurveyCTO's API:
1. Survey metadata: This includes information about the survey such as the survey name, form ID, and version.
2. Form data: This includes the data collected through the survey, such as responses to questions, timestamps, and geolocation data.
3. User data: This includes information about the users who have access to the survey, such as their usernames, roles, and permissions.
4. Device data: This includes information about the devices used to collect data, such as the device ID, model, and operating system.
5. Audit data: This includes information about the actions taken on the survey, such as when it was created, modified, or deleted.
6. Error data: This includes information about any errors that occurred during data collection, such as missing data or invalid responses.
Overall, SurveyCTO's API provides a comprehensive set of data that can be used to analyze and improve data collection processes.
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.
SurveyCTO is a data collection platform that enables researchers, development professionals, and organizations to collect high-quality data using mobile devices. It offers a range of features such as offline data collection, real-time monitoring, and customizable forms that can be used for surveys, assessments, and evaluations. The platform also includes advanced data management tools, such as data cleaning and analysis, to help users make sense of their data. SurveyCTO is designed to be user-friendly and accessible, with support for multiple languages and a range of mobile devices. It is used by organizations around the world to collect data for research, monitoring, and evaluation purposes.
SurveyCTO's API provides access to a wide range of data related to surveys and data collection. The following are the categories of data that can be accessed through SurveyCTO's API:
1. Survey metadata: This includes information about the survey such as the survey name, form ID, and version.
2. Form data: This includes the data collected through the survey, such as responses to questions, timestamps, and geolocation data.
3. User data: This includes information about the users who have access to the survey, such as their usernames, roles, and permissions.
4. Device data: This includes information about the devices used to collect data, such as the device ID, model, and operating system.
5. Audit data: This includes information about the actions taken on the survey, such as when it was created, modified, or deleted.
6. Error data: This includes information about any errors that occurred during data collection, such as missing data or invalid responses.
Overall, SurveyCTO's API provides a comprehensive set of data that can be used to analyze and improve data collection processes.
1. First, log in to your SurveyCTO account and navigate to the API tab.
2. Generate an API token by clicking on the ""Generate new token"" button.
3. Copy the API token to your clipboard.
4. Open the Airbyte platform and navigate to the ""Sources"" tab.
5. Click on the ""New Source"" button and select ""SurveyCTO"" from the list of available sources.
6. Enter a name for your SurveyCTO source connector and paste the API token you copied earlier into the appropriate field.
7. Click on the ""Test"" button to ensure that the connection is successful.
8. If the test is successful, click on the ""Create"" button to save your SurveyCTO source connector.
9. You can now use your SurveyCTO source connector to extract data from your SurveyCTO account and integrate it with other tools and platforms.
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.