Braze
Dataddo is the turnkey reverse-ETL layer for Braze. Sync segments, traits, and events from any warehouse or operational database into Braze so every message is powered by current, governed data - fully managed, no pipelines to maintain.
Model once in your warehouse or database, then let Dataddo keep Braze current with clean, governed data - no pipelines to build or maintain.
Sync from Snowflake, BigQuery, Redshift, Databricks and every other warehouse - plus PostgreSQL, MySQL, SQL Server, Oracle and other operational databases - alongside 400+ SaaS sources. Your source of truth, wherever it lives.
Match on a key you choose and update the matching record instead of inserting a new one. Since Braze isn't a database and won't dedupe for you, upsert is your safeguard against duplicate records.
Push modeled metrics, health scores, and segments - not just raw rows - so teams act on meaning, not noise.
The Data Quality Firewall blocks bad records and automatic PII detection masks or hashes sensitive fields before anything leaves for Braze.
Schedule syncs to Braze as often as the workflow needs, so the data teams see is current.
Delivery alerts and data-quality checks catch problems before they reach Braze or the teams using it.
Keep the same sources flowing into Braze - and see who owns it when an API, schema, or endpoint changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs to Braze keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean data reaches Braze |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Braze syncs keep working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any source can feed Braze |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Issues caught before Braze data goes stale |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, less downtime |
The objects Dataddo keeps in sync in Braze, and what each one lets your teams do.
| Object | Use case |
|---|---|
| User tracking events | Sync user events and traits to trigger and personalize campaigns. |
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
Any of Dataddo's 400+ sources and your data warehouse or operational database - marketing, sales, finance, and product data, blended and cleansed before it reaches Braze.
Dataddo writes to Braze through its API on the schedule you choose. You pick a write mode per object - insert, update, or upsert - and upsert matches on a key so records are updated in place instead of duplicated. Loads are incremental, so you move only what changed.
Yes. Dataddo writes user profiles, attributes, and events to Braze through its API, matching on a key so existing profiles are updated in place (upsert) instead of duplicated. Modeled traits from your warehouse - lifecycle stage, scores, or segments - stay in sync so messaging and segmentation reflect current data.
User tracking events - Dataddo sends modeled behavioral events into Braze to drive messaging and segmentation.
No. Dataddo is fully managed: we maintain the connectors, adapt to source schema changes, and alert you if anything needs attention. There is no pipeline code for you to run.
Often, yes. Many of the operational tools Dataddo writes to are also available as Dataddo sources, so you can pull data in for modeling and push results back out.
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, and PII can be masked or hashed before it ever reaches Braze.
No. Pipelines are destination-agnostic - you can add or switch operational tools and warehouses without rebuilding your sources.