Plaid integrations to save data teams 40 hours a week

Modernize your data infrastructure with Airbyte's high speed data replication. Move large volumes of data with best-in-class CDC methods and replicate large databases within minutes.

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Scale your data integration with confidence

Start using Plaid integrations in three easy steps

Integrate Plaid connector in Airbyte

Choose a source connector to extract data

Connect Plaid as a source in Airbyte to start the data extraction process - without deep technical expertise.

Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.

Send Plaid data anywhere you need it

Store your data inside Plaid destination

Choose from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze your Plaid data.

Choose Plaid from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze the data from the source connector.

Configure your Plaid data synchronization

Configure the integration for data synchronization

Select the Plaid streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Select the streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Plaid integrations let you do all these

Sync Plaid data to BigQuery for advanced analytics

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Replicate Plaid data into PostgreSQL for structured querying

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Get insights by merging Plaid data with HubSpot

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Export Plaid data to Google Sheets for analysis

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Plaid integrations let you do all these

Sync Google Analytics data to Plaid for analysis

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Load PostgreSQL data in to Plaid effortlessly

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Keep Notion data fresh in Plaid with automated syncs

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Manage Salesforce data in Plaid BigQuery for analytics

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All about Plaid integrations

What are Plaid integrations?

The Plaid integration in Airbyte serves as a bridge to integrate financial data from Plaid into your data warehouse. It enables organizations to access and manage financial information such as account balances and transaction data, facilitating a deeper analysis of financial activities and trends.

Why choose Airbyte for Plaid data integration?

Choosing Airbyte for Plaid data integration is advantageous due to its open-source nature, flexibility, and ease of use. Airbyte allows users to customize their data integration processes while providing robust support and a user-friendly interface, making it simpler to streamline data workflows and automate data syncing.

What data can you extract from Airbyte’s Plaid integration?

The current functionality of Airbyte’s Plaid integration allows you to extract data from the balances endpoint. This means that you can load account balance information, with plans to expand to additional streams like transactions in future updates.

What data can you load to Plaid?

The current functionality of Airbyte’s Plaid integration allows you to extract data from the balances endpoint. This means that you can load account balance information, with plans to expand to additional streams like transactions in future updates.

How often does Airbyte sync my Plaid data?

Airbyte currently supports Full Refresh syncs with the Plaid connector. This means that data is pulled completely each time a sync occurs, ensuring that you have the most up-to-date information available for analysis, without incremental updates just yet.

Do I need coding experience to use the Plaid integrations?

No, you do not need coding experience to use the Plaid integrations. Airbyte provides a straightforward setup process with a user-friendly interface, allowing users to configure and manage data integrations without requiring extensive technical knowledge.

About Plaid

Plaid is a financial technology platform that connects applications to users' bank accounts for secure data sharing. Integrating Plaid data empowers data engineers by streamlining access to financial information, enhancing analytics, and enabling automated workflows. This integration fosters real-time insights, improves data accuracy, and supports informed decision-making across finance-related projects.