Two-way sync
Changes in Apache Doris or Braze instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Doris and Braze in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Braze is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Purchases, Segments, Campaigns, Canvases from Braze into tables in Apache Doris continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Doris can also be written back into fields in Braze where the tool can use them.
A continuously synced copy in Apache Doris preserves a queryable record even as data ages out of Braze or gets changed inside it.
Records and events from Braze land in Apache Doris as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Braze's data with data from every other synced system to answer questions no single tool can.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Apache Doris objects | Braze objects | |
|---|---|---|
| Users and Roles Principals used to grant the sync connection scoped access. | Purchases Transaction records logged against profiles for revenue-based targeting. | |
| Databases Logical containers that scope connections and grants. | Segments Audience definitions read for membership export and campaign targeting. | |
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Campaigns Message sends whose metadata and analytics are read for reporting. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Subscription Groups Channel-level opt-in states synced with consent records in other systems. | |
| Partitions Range or list partitions that bound incremental loads. | Content Blocks Reusable message content referenced across campaigns. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Braze connection.
Changes in Apache Doris or Braze instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Doris or Braze data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Doris or Braze record.
Track your Apache Doris ⇄ Braze sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Doris and Braze.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Apache Doris and Braze with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Apache Doris and Braze objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Braze: authenticate both systems, choose the objects to sync (such as Apache Doris's Users and Roles and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Doris and Braze connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–Braze integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Doris and Braze. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. On Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Braze side: Purchases, Segments, Campaigns, Canvases, plus custom fields where Braze exposes them. On the Apache Doris side: Materialized Views, Users and Roles, Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Doris and Braze.