Airbyte
Simplify data integration from APIs, databases, and files to data warehouses and lakes with our Airbyte services
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Airbyte connects with the data source, extracts the data, and transforms it as required by cleaning, filtering, or enriching it. Then, the data is loaded into the destination using the destination connector.
Airbyte supports an extensive range of data sources and destinations.
Among the data sources, it supports databases (like MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, etc.) APIs (like REST, GraphQL, SOAP, etc.), files (CSV, JSON, etc.), SaaS applications (like Salesforce, HubSpot, Zendesk, etc.), and other data sources.
As for the data destinations, it supports data warehouses (like BigQuery, Databricks, etc.), data lakes (like Amazon S3, Azure Blob Storage, GCP), and databases, among many other data repositories.
Airbyte can extract structured, semi-structured, and unstructured, real-time, and historical data. As for transformation services, it offers data cleaning and standardization, data filtering, and data enrichment with relevant information, etc.
Yes, multiple types of triggers can be set, such as scheduled, file-based, and event-based triggers. You can use Airbyte’s built-in or external scheduler to start or stop automated data syncs.
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