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.
Statuspage integrates with the top monitoring, alerting, and ChatOps tools to help keep customers in the loop during each phase of an incident. upports you measure employee motivation by using Statuspage specially made for them Statuspage with DataDog, New Relic, Librato or Pingdom to update your page as soon as an issue is detected and Statuspage automatically exhibits your historical uptime and real-time system data with our Integrate Statuspage with Opsgenie, PagerDuty, VictorOps, or xMatters to update status directly from your alerting app.
Statuspage.io's API provides access to various types of data related to the status of web applications and services. The following are the categories of data that can be accessed through the API:
1. Components: This category includes data related to the various components of a web application or service, such as their current status, description, and other relevant information.
2. Incidents: This category includes data related to any incidents or outages that may have occurred, including their status, duration, and any updates or resolutions.
3. Metrics: This category includes data related to the performance and usage of a web application or service, such as response times, uptime, and other relevant metrics.
4. Subscribers: This category includes data related to the subscribers or users of a web application or service, such as their contact information and notification preferences.
5. Scheduled Maintenance: This category includes data related to any scheduled maintenance or downtime, including the start and end times, and any relevant details or updates.
Overall, Statuspage.io's API provides a comprehensive set of data that can be used to monitor and manage the status of web applications and services, and to keep users informed of any issues or updates.
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.
Statuspage integrates with the top monitoring, alerting, and ChatOps tools to help keep customers in the loop during each phase of an incident. upports you measure employee motivation by using Statuspage specially made for them Statuspage with DataDog, New Relic, Librato or Pingdom to update your page as soon as an issue is detected and Statuspage automatically exhibits your historical uptime and real-time system data with our Integrate Statuspage with Opsgenie, PagerDuty, VictorOps, or xMatters to update status directly from your alerting app.
Statuspage.io's API provides access to various types of data related to the status of web applications and services. The following are the categories of data that can be accessed through the API:
1. Components: This category includes data related to the various components of a web application or service, such as their current status, description, and other relevant information.
2. Incidents: This category includes data related to any incidents or outages that may have occurred, including their status, duration, and any updates or resolutions.
3. Metrics: This category includes data related to the performance and usage of a web application or service, such as response times, uptime, and other relevant metrics.
4. Subscribers: This category includes data related to the subscribers or users of a web application or service, such as their contact information and notification preferences.
5. Scheduled Maintenance: This category includes data related to any scheduled maintenance or downtime, including the start and end times, and any relevant details or updates.
Overall, Statuspage.io's API provides a comprehensive set of data that can be used to monitor and manage the status of web applications and services, and to keep users informed of any issues or updates.
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.
Statuspage integrates with the top monitoring, alerting, and ChatOps tools to help keep customers in the loop during each phase of an incident. upports you measure employee motivation by using Statuspage specially made for them Statuspage with DataDog, New Relic, Librato or Pingdom to update your page as soon as an issue is detected and Statuspage automatically exhibits your historical uptime and real-time system data with our Integrate Statuspage with Opsgenie, PagerDuty, VictorOps, or xMatters to update status directly from your alerting app.
Statuspage.io's API provides access to various types of data related to the status of web applications and services. The following are the categories of data that can be accessed through the API:
1. Components: This category includes data related to the various components of a web application or service, such as their current status, description, and other relevant information.
2. Incidents: This category includes data related to any incidents or outages that may have occurred, including their status, duration, and any updates or resolutions.
3. Metrics: This category includes data related to the performance and usage of a web application or service, such as response times, uptime, and other relevant metrics.
4. Subscribers: This category includes data related to the subscribers or users of a web application or service, such as their contact information and notification preferences.
5. Scheduled Maintenance: This category includes data related to any scheduled maintenance or downtime, including the start and end times, and any relevant details or updates.
Overall, Statuspage.io's API provides a comprehensive set of data that can be used to monitor and manage the status of web applications and services, and to keep users informed of any issues or updates.
1. First, navigate to the "Sources" tab on the left-hand side of the Airbyte dashboard.
2. Click on the "New Source" button in the top right corner of the screen.
3. Select "Statuspage.io" from the list of available sources.
4. Enter a name for your source connector and click "Next".
5. Enter your Statuspage.io API key and page ID in the appropriate fields.
6. Click "Test" to ensure that the connection is successful.
7. If the test is successful, click "Create" to save your source connector.
8. You can now use your Statuspage.io source connector to create a new pipeline or add it to an existing one.
Note: Your Statuspage.io API key can be found in your account settings on the Statuspage.io dashboard. Your page ID can be found in the URL of your Statuspage.io dashboard (e.g. https://example.statuspage.io/ -> "example" is the page ID).
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.
