Top companies trust Airbyte to centralize their Data
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Select your source
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Select your destination
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Sync your Data
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
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Cover your custom needs with our extensibility
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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
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Reliability at every level
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Airbyte Open Source
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Airbyte Cloud
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Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
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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.
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White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
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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.
Pivotal Tracker is a project management tool that helps teams collaborate and manage their work efficiently. It provides a simple and intuitive interface for creating and prioritizing tasks, tracking progress, and communicating with team members. With Pivotal Tracker, teams can easily plan and execute their projects, breaking them down into manageable chunks and assigning tasks to team members. The tool also provides real-time visibility into project status, allowing teams to quickly identify and address any issues that arise. Pivotal Tracker is designed to help teams work more effectively, delivering high-quality results on time and within budget.
MySQL is an SQL (Structured Query Language)-based open-source database management system. An application with many uses, it offers a variety of products, from free MySQL downloads of the most recent iteration to support packages with full service support at the enterprise level. The MySQL platform, while most often used as a web database, also supports e-commerce and data warehousing applications, and more.
Pivotal Tracker's API provides access to a wide range of data related to software development projects. The following are the categories of data that can be accessed through the API:
1. Projects: Information about the projects, including their names, descriptions, and IDs.
2. Stories: Details about the individual stories within a project, including their titles, descriptions, and statuses.
3. Epics: Information about the epics within a project, including their titles, descriptions, and statuses.
4. Tasks: Details about the tasks associated with a story, including their titles, descriptions, and statuses.
5. Comments: Information about the comments made on stories, epics, and tasks.
6. Memberships: Details about the members of a project, including their names, email addresses, and roles.
7. Labels: Information about the labels used to categorize stories within a project.
8. Iterations: Details about the iterations within a project, including their start and end dates.
9. Activity: Information about the activity within a project, including changes made to stories, epics, and tasks.
Overall, Pivotal Tracker's API provides a comprehensive set of data that can be used to track and manage software development projects.
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.