Firestore to Looker

Automatically Export & Sync Firestore Data to Looker

Firestore
a black arrow pointing to the right
Looker
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

Uniform JSON Objects
Filterable
Varied JSON Objects
Filterable

Información adicional

This service is designed to help anyone continuously export (i.e. "sync") bulk data from Firestore.

If you only need to export your data one time, check the website of Firestore to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Firestore.
Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud.
Connection

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.

Project Data versus Database Data

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.


Data Volume

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.

Scopes

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.

Looker reads tables from Google BigQuery.

Formatos de archivo

NDJSON

Integration Flow

Setup

Step 1

Select Firestore from the Data Source dropdown and Looker from the Data Destination dropdown.

Step 2

Authorize Firestore with your credentials using the flow.

Step 3

Authorize Looker with your credentials using the flow.

Step 4

Select your Data Set from the 2 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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