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Business productivity ⇄ Database

Braze to Citus integration — real-time, two-way sync

Keep Braze and Citus 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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Why teams connect Braze and Citus

Mirror Braze's data into Citus 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 Citus.

Stacksync mirrors Canvases, Subscription Groups, Content Blocks, Users from Braze into Schemas, Views, Sequences, Distributed tables in Citus 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.
  • Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
  • Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.

React to changes as they happen

Updates in Braze arrive as row changes in Citus, 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 Citus; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Braze and Citus

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 Citus objects
Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. Sequences Key generators that matter when external writes must not collide with application inserts.
Purchases Transaction records logged against profiles for revenue-based targeting. Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets.
Segments Audience definitions read for membership export and campaign targeting. Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables.
Campaigns Message sends whose metadata and analytics are read for reporting. Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables.
Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. Schemas Standard Postgres namespaces used to scope what a sync user can read and write.
Subscription Groups Channel-level opt-in states synced with consent records in other systems. Views Curated projections over distributed data, often used as read-only sync sources.
What ships with Braze ⇄ Citus

Connect Braze and Citus for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Citus connection.

Real-time

Two-way sync

Changes in Braze or Citus instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Braze or Citus 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 Citus record.

Observability

Monitoring

Track your Braze ⇄ Citus 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 Citus.

How the Braze and Citus 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

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC
How it works

How to connect Braze to Citus — 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.

  1. 01

    Connect your apps

    Authenticate Braze and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Braze connected
    Citus connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Braze and Citus 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Braze ⇄ Citus
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Braze Citus
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Braze and Citus integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Braze and Citus.

Popular · 8 of 386
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