Real-time
Two-way sync
Changes in Braze or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Braze to Postgres Heroku integration — real-time, two-way sync
Keep Braze and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Braze and Postgres Heroku
Mirror Braze's data into Postgres Heroku so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Braze through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Postgres Heroku.
Stacksync mirrors Custom Events, Purchases, Segments, Campaigns from Braze into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Braze, so the tool and the database never disagree.
Common use cases
- Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
- Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
Automate Braze from your codebase
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Braze, replacing custom integration code.
React to changes as they happen
Updates in Braze arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
What you can sync between Braze and Postgres Heroku
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.
| Braze objects | Postgres Heroku objects | |
|---|---|---|
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Purchases Transaction records logged against profiles for revenue-based targeting. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Segments Audience definitions read for membership export and campaign targeting. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Views Read-side projections exposed to outbound syncs. |
What ships with Braze ⇄ Postgres Heroku
Connect Braze and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Braze or Postgres Heroku record.
Observability
Monitoring
Track your Braze ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Braze and Postgres Heroku.
How the Braze and Postgres Heroku connectors work
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Braze to Postgres Heroku — three steps, no code
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.
- 01
Connect your apps
Authenticate Braze and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Braze
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze and Postgres Heroku 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.
objects · Braze ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Braze Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Braze and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Braze's Custom Attributes and Custom Events), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Braze and Postgres Heroku records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Braze and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Braze and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Braze side: Custom Events, Purchases, Segments, Campaigns, plus custom fields where Braze exposes them. On the Postgres Heroku side: Schemas, Primary and Unique Keys, JSONB Columns, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Braze and Postgres Heroku.
Popular · 8 of 386
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Braze ⇄ TiDB -
Braze ⇄ TimescaleDB -
Braze ⇄ VoltDB -
Braze ⇄ YugabyteDB -
Postgres Heroku ⇄ Customer.io -
Postgres Heroku ⇄ eClinicalWorks -
Postgres Heroku ⇄ Full Enrich -
Postgres Heroku ⇄ Google Sheets
No integrations match .
