How to load data from Convex dev to MongoDB

Learn how to use Airbyte to synchronize your Convex dev data into MongoDB within minutes.

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Set up a Convex dev connector in Airbyte

Connect to Convex dev or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up MongoDB for your extracted Convex dev data

Connect to Convex dev or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Configure the Convex dev to MongoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

set up Convex dev as a source connector (using Auth, or usually an API key)
set up MongoDB as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Convex dev

Convex is a server less infrastructure company that has built the worldwide state management platform for web developers. Our mission is to basically change how software is formed on the Internet and who gets to form it. We aim to empower teams, large or small, to build fast, reliable, and dependable dynamic systems at scale. Convex has a great vision for the future so that developers can focus on building application code and leverage that remove the need for thinking about storage, execution, sync, queuing, or workflow.

What is MongoDB

MongoDB is a database that powers crucial applications and systems for global businesses. Designed for developers and specializing in the areas of open source, software development, and databases, it offers functionality such as horizontal scaling, automatic failover, and the capability to assign data to a location.

Integrate Convex dev with MongoDB in minutes

Try for free now

Prerequisites

A Convex dev account to transfer your customer data automatically from.
A MongoDB account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Convex dev and MongoDB, for seamless data migration.

When using Airbyte to move data from Convex dev to MongoDB, it extracts data from Convex dev using the source connector, converts it into a format MongoDB can ingest using the provided schema, and then loads it into MongoDB via the destination connector. This allows businesses to leverage their Convex dev data for advanced analytics and insights within MongoDB, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Convex dev as a source connector

1. First, navigate to the Convex.dev website and log in to your account.
2. Once logged in, click on the "Sources" tab on the left-hand side of the screen.
3. Scroll down until you find the "Airbyte" source connector and click on it.
4. You will be prompted to enter your Airbyte API URL, username, and password. Enter this information and click "Test Connection" to ensure that the credentials are correct.
5. If the connection is successful, click "Save" to add the Airbyte source connector to your list of sources in Convex.dev.
6. Next, navigate to your Airbyte dashboard and click on "Connections" on the left-hand side of the screen.
7. Click "New Connection" and select the Convex.dev source connector from the list of available sources.
8. Enter any necessary configuration details for the connection, such as the source schema and table names.
9. Once the configuration is complete, click "Create Connection" to establish the connection between Airbyte and Convex.dev.
10. You can now use the data from your Airbyte sources in Convex.dev for analysis and visualization.

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your Convex dev data to MongoDB

Once you've successfully connected Convex dev as a data source and MongoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Convex dev from the dropdown list of your configured sources.
Select your destination: Choose MongoDB from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Convex dev objects you want to import data from towards MongoDB. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Convex dev to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your Convex dev data.

Use Cases to transfer your Convex dev data to MongoDB

Integrating data from Convex dev to MongoDB provides several benefits. Here are a few use cases:

Advanced Analytics: MongoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Convex dev data, extracting insights that wouldn't be possible within Convex dev alone.
Data Consolidation: If you're using multiple other sources along with Convex dev, syncing to MongoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Convex dev has limits on historical data. Syncing data to MongoDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: MongoDB provides robust data security features. Syncing Convex dev data to MongoDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: MongoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Convex dev data.
Data Science and Machine Learning: By having Convex dev data in MongoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Convex dev provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MongoDB, providing more advanced business intelligence options. If you have a Convex dev table that needs to be converted to a MongoDB table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Convex dev account as an Airbyte data source connector.
Configure MongoDB as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Convex dev to MongoDB after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

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How to Sync Convex dev to MongoDB Manually

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Back to all tutorials

Databases

How to load data from Convex dev to MongoDB

Learn how to use Airbyte to synchronize your Convex dev data into MongoDB within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Convex dev

Step 2: Setup MongoDB

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Convex dev and MongoDB

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Convex dev as a source connector (using Auth, or usually an API key)
set up MongoDB as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Convex dev

What is MongoDB

Integrate Convex dev with MongoDB in minutes

Try for free now

Prerequisites

A Convex dev account to transfer your customer data automatically from.
A MongoDB account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Convex dev as a source connector

Step 2: Set up MongoDB as a destination connector

Step 3: Set up a connection to sync your Convex dev data to MongoDB

Once you've successfully connected Convex dev as a data source and MongoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Convex dev from the dropdown list of your configured sources.
Select your destination: Choose MongoDB from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Convex dev objects you want to import data from towards MongoDB. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Convex dev to MongoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your Convex dev data.

Use Cases to transfer your Convex dev data to MongoDB

Integrating data from Convex dev to MongoDB provides several benefits. Here are a few use cases:

Advanced Analytics: MongoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Convex dev data, extracting insights that wouldn't be possible within Convex dev alone.
Data Consolidation: If you're using multiple other sources along with Convex dev, syncing to MongoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Convex dev has limits on historical data. Syncing data to MongoDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: MongoDB provides robust data security features. Syncing Convex dev data to MongoDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: MongoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Convex dev data.
Data Science and Machine Learning: By having Convex dev data in MongoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Convex dev provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MongoDB, providing more advanced business intelligence options. If you have a Convex dev table that needs to be converted to a MongoDB table, Airbyte can do that automatically.