Save Historical Open Exchange Rates

Collect Open Exchange Rates Data into Google BigQuery

Own your Open Exchange Rates data in Google BigQuery with OWOX Data Marts. Collect up-to-date and historical currency exchange rates directly into BigQuery, control schema and refresh logic, and reuse the data across BI tools and AI Insights.

Connect

Step 1: Create a Google BigQuery Data Storage

Start by connecting your own Google BigQuery project as a data storage.

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Use your own BigQuery project and datasets
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Keep full ownership of exchange rate data
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No third-party data warehouses
Connect BigQuery
Step 1: Create a Google BigQuery Data Storage
Step 1: Create a Google BigQuery Data Storage
Step 2: Create an Open Exchange Rates Data Mart
Create

Step 2: Create an Open Exchange Rates Data Mart

Create a new Data Mart and choose Connector as the definition type.

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Select Open Exchange Rates as the data source
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Provide the required API access details
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No API coding or engineering required
Create Data Mart
Step 2: Create an Open Exchange Rates Data Mart
Configure

Step 3: Select Fields & Configure Data Import

Choose exactly which exchange rate data you want to store in BigQuery.

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Select the appropriate Open Exchange Rates endpoint
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Choose base currency, target currencies, and rate fields
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No third-party data warehouses
Configure Data Import
Step 3: Select Fields & Configure Data Import
Step 3: Select Fields & Configure Data Import
Step 4: Run & Schedule Exchange Rates Data Collection
Run

Step 4: Run & Schedule Exchange Rates Data Collection

Once published, control how and when exchange rate data is imported.

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Incremental load to import the latest rates
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Backfill (custom period) to load historical FX data
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All runs are logged and visible in Run History
Run Data Mart
Step 4: Run & Schedule Exchange Rates Data Collection
Activate

Step 5: Use Exchange Rates Data Across BI Tools & AI Insights

Your Open Exchange Rates data is now available in Google BigQuery.

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Convert revenue, costs, or ad spend using trusted FX rates
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Analyze data in Google Sheets or Looker Studio
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Join currency data with marketing, sales, or finance datasets
Activate Your Data
Step 5: Use Exchange Rates Data Across BI Tools & AI Insights
Step 5: Use Exchange Rates Data Across BI Tools & AI Insights
Social proof

Every claim has a receipt.

Stats with comment threads attached — like a colleague verifying your numbers in a shared sheet.

170,000
Users on OWOX Platform — and growing 40% year-over-year.
B2
cell "users on platform"
SM
Sarah M.
Head of Analytics, Retail
3d ago

We migrated 200+ reports from Looker to OWOX Data Marts. Our team now self-serves without filing a single Jira ticket. Easily the best infrastructure decision we made this year.

✓ Verified
12 min
Median time-to-first-report for new OWOX users. No onboarding calls required.
C4
cell "time to first report"
DL
David L.
Data Lead, SaaS
Sarah M.

Connected BigQuery, set up 37 data marts, built a data model and had live reports in Sheets in under 15 minutes. My team thought I was joking when I showed them how they can now get live reports right in their sheets.

✓ Verified
Self-service analytics

Turn Exchange Rate Data into Business Decisions

Google Sheets were never designed to be a system of record. With OWOX Data Marts, Sheets becomes a trusted analysis layer — powered by governed data marts defined upstream in your warehouse.

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Business teams keep the flexibility they love
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Data teams retain control over logic and definitions
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No more fragile joins duplicated across spreadsheets
See how it works
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