Investments to Google BigQuery

Automatically Export & Sync Investments Data to Google BigQuery

Investments
a black arrow pointing to the right
Google BigQuery
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

Balances
Balances-Recent
Transactions-AllAvailable
Transactions-Last X days
Date Rangable
InvestmentTransactions-All
InvestmentTransactions-Last X days
Date Rangable
InvestmentHoldings
InvestmentHoldings+RealtimeStocks
Pre-blended combo set Stock Prices [ Premium Data Set | Plaid + Marketstack | Flatly Exclusive ]
Liabilities-Credit
Liabilities-Mortgage
Liabilities-Student

Built for Synchronization

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

If you only need to export your data one time, check the website of Investments 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 Investments.
Flatly connects to over 10,000 financial institutions in the US and Canada via Plaid.
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.

File Formats

NDJSON

Integration Flow

Setup

Step 1

Select Investments from the Data Source dropdown and Google BigQuery from the Data Destination dropdown.

Step 2

Authorize Investments with your credentials using the Plaid (OAuth) flow.

Step 3

Authorize Google BigQuery with your credentials using the Service Account flow.

Step 4

Select your Data Set from the 11 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

Get started with your data pipelines

Connect your data with our turnkey data integration solution so you can focus on running your business.