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Scale your data integration with confidence
Choose a source connector to extract data
Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.
The Microsoft Dataverse integrations allow users to sync data between their applications and Microsoft Dataverse using the Microsoft Dataverse API. It supports various data operations, making it easier to manage data across different systems, specifically focusing on entities within Dataverse.
Airbyte is an ideal choice for Microsoft Dataverse data integration due to its open-source nature, flexibility, and ease of use. It provides a robust platform for data synchronization, full and incremental sync options, and high sync success rates, ensuring seamless data flow into your systems.
With Airbyte's Microsoft Dataverse integration, you can load or extract various types of data including Strings, UniqueIdentifiers, DateTimes, Integers, BigInts, Money, Booleans, Doubles, and Decimals. Other types are mapped as strings, ensuring versatility in handling your Dataverse data.
With Airbyte's Microsoft Dataverse integration, you can load or extract various types of data including Strings, UniqueIdentifiers, DateTimes, Integers, BigInts, Money, Booleans, Doubles, and Decimals. Other types are mapped as strings, ensuring versatility in handling your Dataverse data.
Airbyte can sync your Microsoft Dataverse data at your desired frequency. It offers options for full refresh and incremental syncs, allowing you to choose how often you want to retrieve the latest data updates from Dataverse.
No coding experience is required to use the Microsoft Dataverse integrations with Airbyte. The platform is designed to be user-friendly, allowing users to set up and manage data connections without needing extensive programming skills.
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Microsoft Dataverse is a cloud-based data storage and management platform that supports applications within the Microsoft ecosystem. Integrating Dataverse data allows data engineers to streamline data access, enhance analytics, and improve data governance. This integration fosters collaboration, drives insights, and supports effective decision-making across various business processes.