OpenFDA to BigQuery connector
€100/month
Sync your OpenFDA adverse events, recalls, and drug data into BigQuery with Kaivo to analyse safety reports and enforcement across FDA datasets.
What gets synced
Kaivo syncs 9+ OpenFDA tables, including animal_veterinary_adverse_events, drug_adverse_events, drug_ndc_library, drug_product_labelling, drug_recall_enforcement_reports, drugs, into your BigQuery warehouse.
See all OpenFDA tablesWhat you can do with OpenFDA data
Adverse event analysis
Use drug_adverse_events and food_adverse_events to study reactions and outcomes over time.
Recall tracking
Report on food_enforcement_reports and drug_recall_enforcement_reports by classification and date.
Drug reference
Use drug_ndc_library and drugs to enrich your data with product and sponsor detail.
Safety monitoring
Combine adverse events with product data to monitor safety signals.
Use your OpenFDA data in your AI and BI tools
Once your OpenFDA data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools like Claude or any BI tool that connects to BigQuery. Here is how the most common tools work with OpenFDA data.
Analyze OpenFDA data with Claude
Once your OpenFDA data is in BigQuery you can ask Claude questions about it and get reports and summaries in plain language.
OpenFDA data in Power BI
Connect your OpenFDA data in BigQuery to Power BI and build live dashboards that refresh automatically.
OpenFDA data in Data Studio
Connect your OpenFDA data in BigQuery to Data Studio and build shareable reports that stay up to date.
OpenFDA data in Tableau
Connect your OpenFDA data in BigQuery to Tableau and explore it with interactive visualizations.
OpenFDA data in Google Sheets
Pull your OpenFDA data from BigQuery into Google Sheets for quick analysis and shared reporting.
OpenFDA data in Excel
Pull your OpenFDA data from BigQuery into Excel for quick analysis and reporting.
Start analyzing your OpenFDA data in three easy steps
Connect your OpenFDA account
Connecting to OpenFDA or any of our other 500+ ready-made data sources is quick and doesn't require deep technical knowledge.
Select the data you want to fetch
The tables and columns you select will be stored securely in a fully managed BigQuery data warehouse.
Analyze with your data tool
Plug in your favorite data tool and start analyzing. All the data you selected will be available in an easy-to-use format.
Why get your data connectors from Kaivo
Access all the data you need
Bring together data from your marketing, finance, HR, CRM, and other systems. Select from our 500+ ready-made data connectors or ask for custom connectors.
Use the data tool of your choice
Analyze data and build reports with your favorite tools. No need to learn a new and complicated tool.
Data warehouse included
All Kaivo plans include a fully managed BigQuery warehouse. Get all the benefits of a data warehouse without any of the hassle.
Data always up to date
Schedule automatic data syncs to run as frequently as you need and your reports will always have the latest numbers.
No need to worry about maintenance
Tools, APIs, and databases change, but we keep your data pipelines working and connectors updated.
Data is cleaned and ready for reporting
Raw data from source systems can be hard to use for analytics or reports. Kaivo automatically cleans all data and makes it easy to use.
Data-driven companies sync their data with Kaivo
Answers to your questions
Yes. Kaivo syncs your OpenFDA data into a managed Google BigQuery warehouse and keeps it up to date automatically.
Kaivo syncs 9+ OpenFDA tables, including animal_veterinary_adverse_events, drug_adverse_events, drug_ndc_library, drug_product_labelling, drug_recall_enforcement_reports, drugs.
Kaivo keeps your OpenFDA data up to date with automatic syncs that you can schedule as often as you need.
No. Kaivo is fully managed, so you can connect OpenFDA and start analyzing without building or maintaining any data pipelines.
The OpenFDA connector is €100 per month plus the Kaivo platform fee. See the pricing page for platform fee details and trial terms.
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