Convex integrations to save data teams 40 hours a week

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Start using Convex integrations in three easy steps

Integrate Convex connector in Airbyte

Choose a source connector to extract data

Connect Convex 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 Convex data anywhere you need it

Store your data inside Convex destination

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

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

Configure your Convex data synchronization

Configure the integration for data synchronization

Select the Convex 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.

Convex integrations let you do all these

Sync Convex data to BigQuery for advanced analytics

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Replicate Convex data into PostgreSQL for structured querying

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Get insights by merging Convex data with HubSpot

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Export Convex data to Google Sheets for analysis

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Convex integrations let you do all these

Sync Google Analytics data to Convex for analysis

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Load PostgreSQL data in to Convex effortlessly

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Keep Notion data fresh in Convex with automated syncs

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Manage Salesforce data in Convex BigQuery for analytics

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All about Convex integrations

What are Convex integrations?

Convex integrations are integrations that enable users to efficiently transfer data between various sources and the Convex platform. They facilitate seamless data synchronization, allowing developers to leverage Convex's capabilities for handling and analyzing data without manual intervention.

Why choose Airbyte for Convex data integration?

Choosing Airbyte for Convex data integration means accessing a powerful, open-source platform with a user-friendly interface, real-time data syncing, and excellent community support. Airbyte's reliability and extensive connector support make it an ideal choice for developers wanting to integrate Convex with other data sources.

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

With Airbyte’s Convex integration, users can load or extract data using various sync methods, including Full Refresh Overwrite, Full Refresh Append, Incremental Append, and Incremental Dedup. Each stream corresponds to a table in Convex, ensuring organized and efficient data management.

What data can you load to Convex?

With Airbyte’s Convex integration, users can load or extract data using various sync methods, including Full Refresh Overwrite, Full Refresh Append, Incremental Append, and Incremental Dedup. Each stream corresponds to a table in Convex, ensuring organized and efficient data management.

How often does Airbyte sync my Convex data?

Airbyte allows for flexible sync frequencies based on user requirements. However, for large datasets, it is recommended to utilize Incremental modes to avoid performance issues that may arise with frequent Full Refresh syncs, ensuring efficient data handling.

Do I need coding experience to use the Convex integrations?

No, coding experience is not required to use the Convex integrations with Airbyte. The platform is designed to be user-friendly, enabling users to set up and manage integrations without needing in-depth programming knowledge.

Convex Integration Guides

Connect your favorite tools and services to Convex

About Convex

Convex is a serverless platform that simplifies application development with real-time data handling. Integrating Convex data allows data engineers to streamline workflows, enhance data management, and enable efficient real-time synchronization. This integration fosters better insights, minimizes data inconsistencies, and supports responsive applications tailored to user needs.

See Convex connector

Data Engineering Platform / Integrations / Convex