Sync data from MongoDB to Snowflake

CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.

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Why CloudQuery?

We took care of everything, so you can do your job easily and efficiently.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from MongoDB to Snowflake can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

MongoDB syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

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Explore more curated plugins

MongoDB is a databases plugin. Explore other currently available source plugins in this category.

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Frequently asked questions about plugins

Detailed answers are here to help you get started.

Snowflake FAQ

Should I load information directly to Snowflake from MongoDB or load via remote storage?

For testing purposes, loading directly into Snowflake is the fastest way to get started and check you are achieving the desired results. However, we don’t recommend choosing this approach for a particularly large dataset or once you move to a production environment. At this stage, it is recommended to sync the data from your source to a CSV or JSON file in a remote storage environment such as S3 or Google Cloud Storage and then running a Snowflake cron job or using SnowPipe to load that information into a Snowflake stage.

What authentication options are available for the Snowflake integration?

You can choose between basic authentication using a username and password or use a private and public key pair to authenticate with Snowflake. If you choose to use a private key, you can either place this inline in the specification or reference a separate file where the private key is stored.

MongoDB FAQ

What is CloudQuery?

CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.

Why does CloudQuery require login?

Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.

What data does CloudQuery have access to?

CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.

How is CloudQuery priced?

CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.

Is there a free version of CloudQuery?

Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from MongoDB to Snowflake can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

MongoDB syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Snowflake isn’t the only place we can sync your MongoDB data to. Whatever you need to do with your MongoDB data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

Turn cloud chaos into clarity

Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

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