Greenhouse is a recruitment platform streamlining hiring processes, tracking candidates, and enhancing team collaboration to find the best talent efficiently. Ideal for modern HR needs.
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 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
The Airbyte Open Data Movement Platform
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
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.
Ready to get started?
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.
Greenhouse is a software company that specializes in helping businesses acquire talent. It offers a variety of software tools and services to help businesses throughout all aspects of the hiring process, from applicant tracking systems to recruiting software. With the goal of helping businesses find and hire the ideal candidate, Greenhouse helps employers improve the efficiency and effectiveness of the recruitment and hiring process.
Greenhouse's API provides access to a wide range of data related to the recruitment process. The following are the categories of data that can be accessed through the API:
1. Candidates: Information about candidates who have applied for a job, including their name, contact details, resume, and application status.
2. Jobs: Details about the job openings, including the job title, location, department, and job description.
3. Applications: Information about the applications submitted by candidates, including the date of submission, the source of the application, and the status of the application.
4. Interviews: Details about the interviews scheduled with candidates, including the date, time, location, and interviewer.
5. Offers: Information about the job offers made to candidates, including the salary, benefits, and start date.
6. Users: Details about the users who have access to the Greenhouse account, including their name, email address, and role.
7. Departments: Information about the departments within the organization, including the name, description, and manager.
8. Sources: Details about the sources of the candidates, including job boards, referrals, and social media.
Overall, Greenhouse's API provides a comprehensive set of data that can be used to streamline the recruitment process and make data-driven decisions.
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.
Greenhouse is a software company that specializes in helping businesses acquire talent. It offers a variety of software tools and services to help businesses throughout all aspects of the hiring process, from applicant tracking systems to recruiting software. With the goal of helping businesses find and hire the ideal candidate, Greenhouse helps employers improve the efficiency and effectiveness of the recruitment and hiring process.
Greenhouse's API provides access to a wide range of data related to the recruitment process. The following are the categories of data that can be accessed through the API:
1. Candidates: Information about candidates who have applied for a job, including their name, contact details, resume, and application status.
2. Jobs: Details about the job openings, including the job title, location, department, and job description.
3. Applications: Information about the applications submitted by candidates, including the date of submission, the source of the application, and the status of the application.
4. Interviews: Details about the interviews scheduled with candidates, including the date, time, location, and interviewer.
5. Offers: Information about the job offers made to candidates, including the salary, benefits, and start date.
6. Users: Details about the users who have access to the Greenhouse account, including their name, email address, and role.
7. Departments: Information about the departments within the organization, including the name, description, and manager.
8. Sources: Details about the sources of the candidates, including job boards, referrals, and social media.
Overall, Greenhouse's API provides a comprehensive set of data that can be used to streamline the recruitment process and make data-driven decisions.
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.
Greenhouse is a software company that specializes in helping businesses acquire talent. It offers a variety of software tools and services to help businesses throughout all aspects of the hiring process, from applicant tracking systems to recruiting software. With the goal of helping businesses find and hire the ideal candidate, Greenhouse helps employers improve the efficiency and effectiveness of the recruitment and hiring process.
Greenhouse's API provides access to a wide range of data related to the recruitment process. The following are the categories of data that can be accessed through the API:
1. Candidates: Information about candidates who have applied for a job, including their name, contact details, resume, and application status.
2. Jobs: Details about the job openings, including the job title, location, department, and job description.
3. Applications: Information about the applications submitted by candidates, including the date of submission, the source of the application, and the status of the application.
4. Interviews: Details about the interviews scheduled with candidates, including the date, time, location, and interviewer.
5. Offers: Information about the job offers made to candidates, including the salary, benefits, and start date.
6. Users: Details about the users who have access to the Greenhouse account, including their name, email address, and role.
7. Departments: Information about the departments within the organization, including the name, description, and manager.
8. Sources: Details about the sources of the candidates, including job boards, referrals, and social media.
Overall, Greenhouse's API provides a comprehensive set of data that can be used to streamline the recruitment process and make data-driven decisions.
1. First, navigate to the Greenhouse source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Greenhouse API key in the "API Key" field.
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 from Greenhouse.
8. Choose the replication frequency and the destination where you want to send the data.
9. Click "Create Connection" to save your settings and start replicating data from Greenhouse.
It is important to note that the Greenhouse source connector on Airbyte.com allows you to replicate data from Greenhouse into your data warehouse or other destination. This can be useful for analyzing your recruiting data, tracking candidate progress, and improving your hiring process. By following the steps above, you can easily set up a connection between Greenhouse and your destination of choice, and start replicating data in just a few minutes.
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.
.svg)
.svg)
