Load MongoDB into Snowflake

Snowflake's web user interface showing a SQL query being evaluated and the tabular results thereof.

With REFORM and Snowflake you can make your MongoDB available for analysis in minutes.

MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time. The document model maps to the objects in your application code, making data easy to work with. MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use.

JSON is not a normal tabular data format. Unlike tabular data the structure of each piece of JSON is tailored to a specific purpose. For example a piece of JSON for a form about you and your pets would have a very different structure to a piece of JSON for a manufacturing dashboard. Snowflake expects standard tabular data. In order to warehouse JSON data and use it to find insights we need to transform it into meaningful tables.

A screenshot of REFORM. The structure of a JSON dataset is presented as a filesystem which is being browsed and from which relational columns are being picked

REFORM lets you load MongoDB into tables in Snowflake. Simply provide the details of the MongoDB cluster, browse even the most complex data as if it were a file browser and pick what you're interested in. Finally provide the details of an S3 bucket along with your Snowflake database, warehouse, account, username and password and REFORM will transform your data into analytic ready tables in Snowflake.

Snowflake's web user interface showing a pie chart on a laptop on a wooden desk alongside a Snowflake mug and two plants amongst other things.

REFORM supports datasets of all sizes even if they are too large to fit onto a single computer. Your data will stream from MongoDB thorugh REFORM and into analytic ready tables in Snowflake.