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.
Fnatic, based out of London, is the world's leading esports organization, with a winning legacy of 16 years and counting in over 28 different titles, generating over 13m USD in prize money. Fnatic has an engaged follower base of 14m across their social media platforms and hundreds of millions of people watch their teams compete in League of Legends, CS:GO, Dota 2, Rainbow Six Siege, and many more titles every year.
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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.
Mailjet is one of the affordable software for email marketing campaigns SMS campaigns, newsletter creation, email template building etc. Mailjet permits you to send transactional SMS messages using our Send SMS API. The Mailjet Transactional SMS API offers a straight-forward way to add SMS functionalities to third-party applications. Mailjet's SMS API allows you to send text messages to users around the globe through a simple RESTful API.
Mailjet SMS's API provides access to various types of data related to SMS messaging. The categories of data that can be accessed through the API are as follows:
1. Account data: This includes information about the user's Mailjet SMS account, such as account ID, API key, and account balance.
2. Message data: This includes details about the SMS messages sent and received through the Mailjet SMS platform, such as message ID, sender ID, recipient number, message content, and delivery status.
3. Contact data: This includes information about the contacts or recipients of SMS messages, such as contact ID, phone number, and contact attributes.
4. Campaign data: This includes data related to SMS campaigns, such as campaign ID, campaign name, and campaign statistics.
5. Analytics data: This includes data related to SMS message performance, such as delivery rates, open rates, click-through rates, and conversion rates.
6. Integration data: This includes data related to the integration of Mailjet SMS with other platforms or applications, such as integration ID, integration type, and integration status.
Overall, Mailjet SMS's API provides comprehensive access to data related to SMS messaging, enabling users to track and optimize their SMS campaigns for maximum effectiveness.
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.
Mailjet is one of the affordable software for email marketing campaigns SMS campaigns, newsletter creation, email template building etc. Mailjet permits you to send transactional SMS messages using our Send SMS API. The Mailjet Transactional SMS API offers a straight-forward way to add SMS functionalities to third-party applications. Mailjet's SMS API allows you to send text messages to users around the globe through a simple RESTful API.
Mailjet SMS's API provides access to various types of data related to SMS messaging. The categories of data that can be accessed through the API are as follows:
1. Account data: This includes information about the user's Mailjet SMS account, such as account ID, API key, and account balance.
2. Message data: This includes details about the SMS messages sent and received through the Mailjet SMS platform, such as message ID, sender ID, recipient number, message content, and delivery status.
3. Contact data: This includes information about the contacts or recipients of SMS messages, such as contact ID, phone number, and contact attributes.
4. Campaign data: This includes data related to SMS campaigns, such as campaign ID, campaign name, and campaign statistics.
5. Analytics data: This includes data related to SMS message performance, such as delivery rates, open rates, click-through rates, and conversion rates.
6. Integration data: This includes data related to the integration of Mailjet SMS with other platforms or applications, such as integration ID, integration type, and integration status.
Overall, Mailjet SMS's API provides comprehensive access to data related to SMS messaging, enabling users to track and optimize their SMS campaigns for maximum effectiveness.
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.
Mailjet is one of the affordable software for email marketing campaigns SMS campaigns, newsletter creation, email template building etc. Mailjet permits you to send transactional SMS messages using our Send SMS API. The Mailjet Transactional SMS API offers a straight-forward way to add SMS functionalities to third-party applications. Mailjet's SMS API allows you to send text messages to users around the globe through a simple RESTful API.
Mailjet SMS's API provides access to various types of data related to SMS messaging. The categories of data that can be accessed through the API are as follows:
1. Account data: This includes information about the user's Mailjet SMS account, such as account ID, API key, and account balance.
2. Message data: This includes details about the SMS messages sent and received through the Mailjet SMS platform, such as message ID, sender ID, recipient number, message content, and delivery status.
3. Contact data: This includes information about the contacts or recipients of SMS messages, such as contact ID, phone number, and contact attributes.
4. Campaign data: This includes data related to SMS campaigns, such as campaign ID, campaign name, and campaign statistics.
5. Analytics data: This includes data related to SMS message performance, such as delivery rates, open rates, click-through rates, and conversion rates.
6. Integration data: This includes data related to the integration of Mailjet SMS with other platforms or applications, such as integration ID, integration type, and integration status.
Overall, Mailjet SMS's API provides comprehensive access to data related to SMS messaging, enabling users to track and optimize their SMS campaigns for maximum effectiveness.
1. First, navigate to the Mailjet SMS source connector page on Airbyte.com.
2. Click on the "Create new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Mailjet SMS API key and secret key in the appropriate fields.
5. Click "Test connection" to ensure that your credentials are correct and the connection is successful.
6. Once the connection is successful, click "Next".
7. Select the tables you want to replicate and click "Next".
8. Choose the frequency of data synchronization and click "Next".
9. Review your connection settings and click "Create connection".
10. Your Mailjet SMS source connector is now connected and ready to use.
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.
