Real-time
Two-way sync
Changes in Braze or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Braze to Render Postgres integration — real-time, two-way sync
Keep Braze and Render Postgres 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
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Migrated from Celigo
Why teams connect Braze and Render Postgres
Mirror Braze's data into Render Postgres 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 Render Postgres.
Stacksync mirrors Canvases, Subscription Groups, Content Blocks, Users from Braze into Indexes and Constraints, Tables, Views, Materialized Views in Render Postgres 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
- 01 Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
- 02 Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
- 03 Serve as the operational read/write store behind internal tools while Stacksync keeps it consistent with SaaS systems of record.
- 04 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
Common sync patterns
React to changes as they happen
Updates in Braze arrive as row changes in Render Postgres, 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.
Read Braze with a query
Records from Braze are ordinary rows in Render Postgres; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Braze and Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Custom Attributes is specific to Braze and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Custom Events is specific to Braze and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Purchases Transaction records logged against profiles for revenue-based targeting. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Purchases is specific to Braze and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Segments Audience definitions read for membership export and campaign targeting. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Segments is specific to Braze and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Campaigns is specific to Braze and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Canvases is specific to Braze and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Braze and Render Postgres
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Braze Render Postgres Interval-based propagation
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Braze Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Braze through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Braze ⇄ Render Postgres
Connect Braze and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze or Render Postgres 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 Render Postgres record.
Observability
Monitoring
Track your Braze ⇄ Render Postgres 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 Render Postgres.
How the Braze and Render Postgres 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
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Braze to Render Postgres — 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 Render Postgres 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
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze and Render Postgres 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 ⇄ Render PostgresCustomers 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 Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Render Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Braze and Render Postgres: 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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Common patterns for Braze and Render Postgres: React to changes as they happen; One integration pattern for the whole stack; Read Braze with a query. Updates in Braze arrive as row changes in Render Postgres, so triggers, jobs, and services can respond in near real time.
-
Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
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Braze: Profiles can be addressed by external ID, Braze ID, or user aliases, and identity resolution across these matters when merging data from other systems. Render Postgres: Logical replication requires wal_level=logical and an available replication slot; plan connection limits make pooling important for busy syncs. Stacksync's field mapping accounts for these differences between Braze and Render Postgres without custom code.
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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 Render Postgres 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 Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Braze–Render Postgres integration in-house.
SECURITY
Security teams trust 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 409 integrations available for Braze and Render Postgres.
Popular · 6 of 409
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Braze ⇄ Oracle DB -
Braze ⇄ RavenDB -
Braze ⇄ Redis Enterprise -
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Render Postgres ⇄ eClinicalWorks -
Render Postgres ⇄ Google Sheets
No integrations match .
