Building your pipeline or Using Airbyte
Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
What sets Airbyte Apart
Modern GenAI Workflows
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
What our users say
"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”
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.
Unleash is a global innovation lab that brings together entrepreneurs, investors, and corporations to collaborate on solutions to some of the world's most pressing challenges. The program focuses on themes such as sustainable energy, food security, and healthcare, and provides participants with access to mentorship, funding, and resources to develop their ideas into viable businesses. Unleash also emphasizes diversity and inclusion, with a goal of bringing together individuals from diverse backgrounds and perspectives to drive innovation and create positive social impact. The program culminates in a week-long innovation lab where participants pitch their ideas and collaborate on solutions to global challenges.
Unleash's API provides access to various types of data related to feature flags and experimentation. The following are the categories of data that can be accessed through the API:
1. Feature flags: The API provides access to all the feature flags created in the Unleash dashboard, including their names, descriptions, and configurations.
2. Metrics: The API provides access to various metrics related to feature flags, such as the number of times a feature flag was evaluated, the number of times it was enabled, and the percentage of users who saw the feature flag.
3. Events: The API provides access to events related to feature flags, such as when a feature flag was toggled on or off, when it was evaluated, and when it was enabled or disabled.
4. User targeting: The API provides access to user targeting information, such as the rules used to target specific users for a feature flag and the percentage of users who were targeted.
5. Experiments: The API provides access to information related to experiments, such as the name of the experiment, the variations being tested, and the metrics being tracked.
Overall, Unleash's API provides a comprehensive set of data related to feature flags and experimentation, allowing developers to gain insights into how their features are performing 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.
Unleash is a global innovation lab that brings together entrepreneurs, investors, and corporations to collaborate on solutions to some of the world's most pressing challenges. The program focuses on themes such as sustainable energy, food security, and healthcare, and provides participants with access to mentorship, funding, and resources to develop their ideas into viable businesses. Unleash also emphasizes diversity and inclusion, with a goal of bringing together individuals from diverse backgrounds and perspectives to drive innovation and create positive social impact. The program culminates in a week-long innovation lab where participants pitch their ideas and collaborate on solutions to global challenges.
Convex is a platform that provides a suite of tools for building and deploying machine learning models. It offers a user-friendly interface for data scientists and developers to create and train models, as well as a scalable infrastructure for deploying them in production. Convex also includes features such as automated model tuning, version control, and collaboration tools to streamline the machine learning workflow. The platform is designed to be flexible and customizable, allowing users to integrate their own libraries and frameworks. Overall, Convex aims to simplify the process of building and deploying machine learning models, making it accessible to a wider range of users.
1. First, navigate to the Airbyte website and create an account.
2. Once you have logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. Scroll down until you find the ""Unleash"" source connector and click on it.
4. Click on the ""Create Connection"" button to begin setting up your Unleash source connector.
5. Enter the necessary information, such as the name of your connection and your Unleash API key.
6. Choose the tables you want to sync from Unleash to Airbyte.
7. Test the connection to ensure that it is working properly.
8. Once you have successfully tested the connection, click on the ""Create Connection"" button to finalize the setup.
9. Your Unleash source connector is now connected to Airbyte and ready to start syncing data.
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. From there, click on the "Add Destination" button in the top right corner of the screen.
4. In the search bar, type "Convex" and select the Convex destination connector from the list of options.
5. Next, you will need to enter your Convex API key. This can be found in your Convex account settings.
6. Once you have entered your API key, click on the "Test" button to ensure that the connection is working properly.
7. If the test is successful, click on the "Save" button to save your settings.
8. You can now use the Convex destination connector to transfer data from Airbyte to your Convex account.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Unleash's API provides access to various types of data related to feature flags and experimentation. The following are the categories of data that can be accessed through the API:
1. Feature flags: The API provides access to all the feature flags created in the Unleash dashboard, including their names, descriptions, and configurations.
2. Metrics: The API provides access to various metrics related to feature flags, such as the number of times a feature flag was evaluated, the number of times it was enabled, and the percentage of users who saw the feature flag.
3. Events: The API provides access to events related to feature flags, such as when a feature flag was toggled on or off, when it was evaluated, and when it was enabled or disabled.
4. User targeting: The API provides access to user targeting information, such as the rules used to target specific users for a feature flag and the percentage of users who were targeted.
5. Experiments: The API provides access to information related to experiments, such as the name of the experiment, the variations being tested, and the metrics being tracked.
Overall, Unleash's API provides a comprehensive set of data related to feature flags and experimentation, allowing developers to gain insights into how their features are performing and make data-driven decisions.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: