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.
Datadog is a monitoring and analytics tool for information technology (IT) and DevOps teams that can be used for performance metrics as well as event monitoring for infrastructure and cloud services. The software can monitor services such as servers, databases and appliances Datadog monitoring software is available for on-premises deployment or as Software as a Service (SaaS). Datadog supports Windows, Linux and Mac operating systems. Support for cloud service providers includes AWS, Microsoft Azure, Red Hat OpenShift, and Google Cloud Platform.
Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.
Datadog's API provides access to a wide range of data related to monitoring and analytics of IT infrastructure and applications. The following are the categories of data that can be accessed through Datadog's API:
1. Metrics: Datadog's API provides access to a vast collection of metrics related to system performance, network traffic, application performance, and more.
2. Logs: The API allows users to retrieve logs generated by various applications and systems, which can be used for troubleshooting and analysis.
3. Traces: Datadog's API provides access to distributed traces, which can be used to identify performance bottlenecks and optimize application performance.
4. Events: The API allows users to retrieve events generated by various systems and applications, which can be used for alerting and monitoring purposes.
5. Dashboards: Users can retrieve and manage dashboards created in Datadog, which can be used to visualize and analyze data from various sources.
6. Monitors: The API allows users to create, update, and manage monitors, which can be used to alert on specific conditions or events.
7. Synthetic tests: Datadog's API provides access to synthetic tests, which can be used to simulate user interactions with applications and systems to identify performance issues.
Overall, Datadog's API provides a comprehensive set of data that can be used to monitor and optimize IT infrastructure and applications.
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.