Automatically Export & Sync Universal JSON Data to Google Data Studio
Flatly can access JSON in the form of URLs (example: yourhost.com/data.json?auth=secret), behind Basic Authentication. Flatly does not ingest JSON from a file upload.
If you have tried on your own, using code, to flatten a large JSON file from a web service and are running into resource challenges (memory, CPU, storage), you either need to implement non-trivial chunking architecture yourself or use a turnkey service like Flatly. Flatly is designed to flatten JSON in resource-efficient way, and replicate it as a flat files in a cloud storage destination you control.
Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.
Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.
Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.
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