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.
Searchmetrics is a worldwide provider of search data, software, and consulting solutions. Its innovative approach ensures household names like Lowe’s, AXA, and McKinsey & Company thrive in the hyper-competitive search landscape. Searchmetrics is the pioneer and leading global enterprise platform with some page optimization features. It is also a comprehensive platform of software and services that delivers the insights and data which permits marketers to reach all of their Search Engine Optimization and content marketing objectives.
SearchMetrics's API provides access to a wide range of data related to search engine optimization (SEO) and digital marketing. The following are the categories of data that can be accessed through the API:
1. Search Visibility: This category includes data related to the visibility of a website or a specific page on search engines. It includes metrics such as search engine rankings, search volume, and click-through rates.
2. Content Performance: This category includes data related to the performance of a website's content. It includes metrics such as page views, bounce rates, and time on site.
3. Backlinks: This category includes data related to the backlinks of a website. It includes metrics such as the number of backlinks, the quality of backlinks, and the anchor text used in backlinks.
4. Social Signals: This category includes data related to the social media presence of a website. It includes metrics such as the number of social media shares, likes, and comments.
5. Competitor Analysis: This category includes data related to the performance of a website's competitors. It includes metrics such as their search engine rankings, backlinks, and social media presence.
6. Keyword Research: This category includes data related to keyword research. It includes metrics such as search volume, competition, and keyword difficulty.
Overall, SearchMetrics's API provides a comprehensive set of data that can be used to improve a website's SEO and digital marketing performance.
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.
Searchmetrics is a worldwide provider of search data, software, and consulting solutions. Its innovative approach ensures household names like Lowe’s, AXA, and McKinsey & Company thrive in the hyper-competitive search landscape. Searchmetrics is the pioneer and leading global enterprise platform with some page optimization features. It is also a comprehensive platform of software and services that delivers the insights and data which permits marketers to reach all of their Search Engine Optimization and content marketing objectives.
SearchMetrics's API provides access to a wide range of data related to search engine optimization (SEO) and digital marketing. The following are the categories of data that can be accessed through the API:
1. Search Visibility: This category includes data related to the visibility of a website or a specific page on search engines. It includes metrics such as search engine rankings, search volume, and click-through rates.
2. Content Performance: This category includes data related to the performance of a website's content. It includes metrics such as page views, bounce rates, and time on site.
3. Backlinks: This category includes data related to the backlinks of a website. It includes metrics such as the number of backlinks, the quality of backlinks, and the anchor text used in backlinks.
4. Social Signals: This category includes data related to the social media presence of a website. It includes metrics such as the number of social media shares, likes, and comments.
5. Competitor Analysis: This category includes data related to the performance of a website's competitors. It includes metrics such as their search engine rankings, backlinks, and social media presence.
6. Keyword Research: This category includes data related to keyword research. It includes metrics such as search volume, competition, and keyword difficulty.
Overall, SearchMetrics's API provides a comprehensive set of data that can be used to improve a website's SEO and digital marketing performance.
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.
Searchmetrics is a worldwide provider of search data, software, and consulting solutions. Its innovative approach ensures household names like Lowe’s, AXA, and McKinsey & Company thrive in the hyper-competitive search landscape. Searchmetrics is the pioneer and leading global enterprise platform with some page optimization features. It is also a comprehensive platform of software and services that delivers the insights and data which permits marketers to reach all of their Search Engine Optimization and content marketing objectives.
SearchMetrics's API provides access to a wide range of data related to search engine optimization (SEO) and digital marketing. The following are the categories of data that can be accessed through the API:
1. Search Visibility: This category includes data related to the visibility of a website or a specific page on search engines. It includes metrics such as search engine rankings, search volume, and click-through rates.
2. Content Performance: This category includes data related to the performance of a website's content. It includes metrics such as page views, bounce rates, and time on site.
3. Backlinks: This category includes data related to the backlinks of a website. It includes metrics such as the number of backlinks, the quality of backlinks, and the anchor text used in backlinks.
4. Social Signals: This category includes data related to the social media presence of a website. It includes metrics such as the number of social media shares, likes, and comments.
5. Competitor Analysis: This category includes data related to the performance of a website's competitors. It includes metrics such as their search engine rankings, backlinks, and social media presence.
6. Keyword Research: This category includes data related to keyword research. It includes metrics such as search volume, competition, and keyword difficulty.
Overall, SearchMetrics's API provides a comprehensive set of data that can be used to improve a website's SEO and digital marketing performance.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "SearchMetrics" source connector and then click on the "Create new connection" button.
3. Enter a name for your connection and click on the "Next" button.
4. Enter your SearchMetrics API credentials, including your API key and secret key.
5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your SearchMetrics account.
6. Once the test is successful, click on the "Next" button to proceed to the next step.
7. Select the data you want to replicate from SearchMetrics, including the project, country, and search engine.
8. Choose the replication frequency and the initial replication start date.
9. Click on the "Create connection" button to finalize the connection and start replicating your SearchMetrics data to Airbyte.
10. You can monitor the progress of your replication in the "Connections" tab and view your data in the "Destinations" tab.
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.