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.
Kustomer is an omnichannel SaaS CRM platform reimagining enterprise customer service to deliver standout experiences. It scales to meet the needs of any contact center and business by unifying data from multiple sources, enabling companies to deliver service and support through a single timeline view.
Chargify is a billing and revenue management system for B2B SaaS companies that provides a SaaS billing solution to handle free trial periods, one-time fees, promotions, refunds, email receipts. It is a recurring billing and subscription management platform designed for subscription-based businesses which aims to end the billing bottleneck for Web 2.0 and SaaS companies, allowing them to easily launch new products. Chargify is a worldly-recognized leader in the Recurring Billing and Subscription Management space that turns billing into a competitive edge
Kustomer's API provides access to a wide range of data related to customer interactions and behavior. The following are the categories of data that can be accessed through Kustomer's API:
1. Customer data: This includes information about customers such as their name, email address, phone number, and other contact details.
2. Conversation data: This includes data related to customer conversations such as chat transcripts, email threads, and social media interactions.
3. Order data: This includes information about customer orders such as order number, order status, and order history.
4. Ticket data: This includes information about customer support tickets such as ticket number, ticket status, and ticket history.
5. Agent data: This includes information about agents such as their name, email address, and performance metrics.
6. Analytics data: This includes data related to customer behavior such as customer satisfaction scores, response times, and other key performance indicators.
Overall, Kustomer's API provides access to a comprehensive set of data that can be used to gain insights into customer behavior and improve customer support and engagement.
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.