Automatically Export & Sync Firestore Data to Looker Studio
There are no scripts, downloads or extensions required for this integration. Flatly uses Service Account authorization for Firestore. Bring your own Service Account key and then simply enter a path to your Collection.
Flatly syncs Firestore Database data, namely the contents of Documents in specific Collections. It does not sync Project Data like Crashlytics or A/B Testing. Behind the scenes the service first converts Firestore Documents to JSON and then efficiently flattens that JSON into flat files for spreadsheets or storage, or newline JSON for BigQuery.
If you expect your Firestore Collection to contain more than 10 million cells worth of data, do not attempt to sync Firestore to Google Sheets, as Google Sheets is limited to 10 million cells. Instead, use any cloud storage or BigQuery.
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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