Braze connector
Set up the Braze connector in Kaivo: authentication, configuration, the 16 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Braze data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.
What is the Braze connector
Sync your Braze messaging data into BigQuery with Kaivo to measure campaign and canvas performance alongside your product and revenue data.
Getting started with the Braze connector
- Sign up for Kaivo and create a workspace.
- Connect your Braze account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Braze
Authenticate with your API Key.
Configuring the Braze connector
When you set up the connector, you provide:
Tables and columns synced from Braze
Kaivo syncs 16 tables from Braze into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
campaigns (6 columns)
campaigns (6 columns)
Subtable: campaigns__tags
campaigns_analytics (14 columns)
campaigns_analytics (14 columns)
Subtable: campaigns_analytics__messages__android_push
Subtable: campaigns_analytics__messages__email
Subtable: campaigns_analytics__messages__ios_push
Subtable: campaigns_analytics__messages__sms
Subtable: campaigns_analytics__messages__webhook
campaigns_details (15 columns)
campaigns_details (15 columns)
Subtable: campaigns_details__channels
Subtable: campaigns_details__conversion_behaviors
Subtable: campaigns_details__tags
Subtable: campaigns_details__teams
canvases (5 columns)
canvases (5 columns)
Subtable: canvases__tags
canvases_analytics (8 columns)
canvases_analytics (8 columns)
canvases_details (14 columns)
canvases_details (14 columns)
Subtable: canvases_details__channels
Subtable: canvases_details__steps
Subtable: canvases_details__tags
Subtable: canvases_details__variants
cards (5 columns)
cards (5 columns)
Subtable: cards__tags
cards_analytics (8 columns)
cards_analytics (8 columns)
events (3 columns)
events (3 columns)
events_analytics (5 columns)
events_analytics (5 columns)
kpi_daily_active_users (4 columns)
kpi_daily_active_users (4 columns)
kpi_daily_app_uninstalls (4 columns)
kpi_daily_app_uninstalls (4 columns)
kpi_daily_new_users (4 columns)
kpi_daily_new_users (4 columns)
segments (5 columns)
segments (5 columns)
Subtable: segments__tags
segments_analytics (5 columns)
segments_analytics (5 columns)
segments_details (9 columns)
segments_details (9 columns)
Subtable: segments_details__tags
How the Braze sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Braze supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for Braze?
It depends on how much history is in your Braze account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when Braze's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Braze, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Braze instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Braze connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Braze data
Campaign performance
Join campaigns with campaigns_analytics to track sends, opens, and conversions over time.
Canvas analysis
Use canvases and canvases_analytics to see how multi-step journeys perform end to end.
Active user trends
Bring kpi_daily_active_users and kpi_daily_new_users into BigQuery to watch growth and retention.
Segment reporting
Use segments and segments_analytics to compare engagement across audiences.
Use Braze data in your AI and BI tools
Once Braze data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Braze data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Braze connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Gmail: Sync Gmail to BigQuery.
- Custobar: Sync Custobar to BigQuery.
- Google Search Console: Sync Google Search Console to BigQuery.
- HubSpot: Sync HubSpot to BigQuery.
- Adform: Sync Adform to BigQuery.
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