Gridly 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 Gridly integrations in three easy steps

Integrate Gridly connector in Airbyte

Choose a source connector to extract data

Connect Gridly 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 Gridly data anywhere you need it

Store your data inside Gridly destination

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

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

Configure your Gridly data synchronization

Configure the integration for data synchronization

Select the Gridly 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.

Gridly integrations let you do all these

Sync Gridly data to BigQuery for advanced analytics

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Replicate Gridly data into PostgreSQL for structured querying

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Get insights by merging Gridly data with HubSpot

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Export Gridly data to Google Sheets for analysis

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Gridly integrations let you do all these

Sync Google Analytics data to Gridly for analysis

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Load PostgreSQL data in to Gridly effortlessly

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Keep Notion data fresh in Gridly with automated syncs

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Manage Salesforce data in Gridly BigQuery for analytics

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All about Gridly integrations

What are Gridly integrations?

The Gridly integration is a source integration that allows users to seamlessly connect and sync their data from Gridly, a flexible data management platform. It enables users to integrate their Gridly records into various data workflows, facilitating better data analysis and utilization across applications.

Why choose Airbyte for Gridly data integration?

Choosing Airbyte for Gridly data integration offers numerous advantages, including its open-source nature, ease of use, and robust community support. Airbyte simplifies the data integration process, enabling users to efficiently sync their Gridly data with other platforms, while providing flexibility to customize and extend their data pipelines as needed.

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

Airbyte’s Gridly integration supports the extraction of records from Gridly. Users can load records housed in their Gridly account, making it easy to access and analyze data stored in this platform for further processing or reporting.

What data can you load to Gridly?

Airbyte’s Gridly integration supports the extraction of records from Gridly. Users can load records housed in their Gridly account, making it easy to access and analyze data stored in this platform for further processing or reporting.

How often does Airbyte sync my Gridly data?

Airbyte supports a Full Refresh Sync mode for Gridly, meaning data synchronization happens entirely with each sync operation. However, Incremental Sync is not supported, which means users should expect complete data refreshes during syncs rather than just updates.

Do I need coding experience to use the Gridly integrations?

No, you do not need coding experience to use the Gridly integrations with Airbyte. The platform is designed to be user-friendly, allowing even those without technical backgrounds to set up and manage data integrations effectively through its intuitive interface.

About Gridly

Gridly is a collaborative data management platform that allows users to organize and manage data in grids. Integrating Gridly data enables data engineers to automate workflows, enhance data accuracy, and streamline data access. This integration fosters better collaboration and insights, ultimately driving informed decision-making across teams.

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