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Communications ⇄ Database

Infobip to PostgreSQL integration — real-time, two-way sync

Keep Infobip and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Infobip and PostgreSQL

Turn the messages, calls, and events Infobip handles into live rows in PostgreSQL, and write back to trigger new outbound communication, with both sides in sync in seconds.

Engineers reach communications tools like Infobip through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in PostgreSQL next to everything else.

Stacksync mirrors Email, Conversations, Numbers / Senders, Delivery Reports & Logs from Infobip into Columns, Primary and Unique Keys, JSONB Columns, Sequences in PostgreSQL and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Infobip so the tool and the database never disagree.

There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.

Common use cases

  • 01 Two-way sync Persons — profiles, attributes, tags, and channel opt-in state — between the Infobip People CDP and a CRM or Postgres database so audience data stays consistent in both systems.
  • 02 Push CRM or warehouse segments into Infobip People as Persons and add them to Moments flows so triggered SMS, WhatsApp, and email campaigns fire on fresh audiences.
  • 03 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 04 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

Common sync patterns

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

Communication history as database rows

Every message, call, or event Infobip records becomes rows in PostgreSQL, ready to query, join with your own data, and report on without touching the vendor API.

Trigger outbound communication from the database

Write a row to a synced table in PostgreSQL and Stacksync propagates it into Infobip, so your code sends the message, places the call, or schedules the meeting without integration glue.

What you can sync between Infobip and PostgreSQL

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.

Infobip objects PostgreSQL objects How this pairing syncs
SMS Messages Outbound SMS sent via POST /sms/3/messages (legacy /sms/2/text/advanced); sent-message logs and delivery/seen reports read via GET /sms/1/logs and /sms/1/reports, with delivery reports and inbound (MO) messages pushed to a notifyUrl webhook. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. SMS Messages is specific to Infobip and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
WhatsApp Messages Template, text, and media WhatsApp messages sent via POST /whatsapp/1/message/*; message status and inbound replies delivered by webhook, and approved message templates are managed under the WhatsApp sender. Sequences Generate surrogate keys for rows created by inbound syncs. WhatsApp Messages is specific to Infobip and Sequences to PostgreSQL — each maps to any object or custom field on the other side.
Email Transactional and bulk email sent via POST /email/3/send (multipart form); delivery, open, click, bounce, and unsubscribe events arrive by webhook, and sending domains are managed through the /email/1/domains endpoints. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Email is specific to Infobip and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Conversations Omnichannel contact-center threads, agents, queues, and tags in the Conversations (CCaaS) module; read and write conversation state and messages through the Conversations API for a unified support view. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Conversations is specific to Infobip and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Numbers / Senders Provisioned phone numbers and sender IDs used as message origins, listed and managed via the Numbers API; read to map which sender each message flows through. Views Read-side projections used to expose joined or filtered data to a sync. Numbers / Senders is specific to Infobip and Views to PostgreSQL — each maps to any object or custom field on the other side.
Delivery Reports & Logs Per-message delivery status, seen/read receipts, and error codes; pulled from GET /sms/1/reports and /sms/1/logs within a short retention window, or pushed in real time to a configured notifyUrl webhook. Materialized Views Precomputed result sets synced outward on a refresh schedule. Delivery Reports & Logs is specific to Infobip and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Infobip and PostgreSQL

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.

Infobip PostgreSQL Sub-second propagation

DetectionInfobip notifies Stacksync of record changes through webhook events. Delivery reports, seen/read receipts, and inbound (mobile-originated) messages are pushed in real time to a configured notifyUrl webhook per channel.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Infobip Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Infobip through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Infobip: Message-sending throughput is provisioned per account and per number/sender rather than one fixed global cap; non-messaging endpoints are throttled and return HTTP 429 Too Many Requests when usage exceeds expected levels.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Infobip ⇄ PostgreSQL

Connect Infobip and PostgreSQL for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Infobip or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infobip or PostgreSQL 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 Infobip or PostgreSQL record.

Observability

Monitoring

Track your Infobip ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infobip and PostgreSQL.

How the Infobip and PostgreSQL connectors work

Infobip

Integration surface
Infobip omnichannel REST API (JSON over HTTPS) across per-channel resources (SMS, WhatsApp, Email, Voice), the People CDP, and Conversations; a unified Messages API also spans channels
Authentication
API key sent as the header 'Authorization: App <api-key>' (recommended), with HTTP Basic authentication and OAuth 2.0 also supported; keys are limited by per-endpoint scopes, and every request must target the account's personalized base URL
Change detection
Delivery reports, seen/read receipts, and inbound (mobile-originated) messages are pushed in real time to a configured notifyUrl webhook per channel; message logs/reports (GET /sms/1/logs, /sms/1/reports) and People list endpoints are polled as a fallback
Capabilities
read · write · webhooks
Rate limits
Message-sending throughput is provisioned per account and per number/sender rather than one fixed global cap; non-messaging endpoints are throttled and return HTTP 429 Too Many Requests when usage exceeds expected levels
Infobip setup guide

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Infobip to PostgreSQL — 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 Infobip and PostgreSQL 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
    Infobip connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infobip and PostgreSQL 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 · Infobip ⇄ PostgreSQL
    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
    Infobip PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infobip and PostgreSQL integration FAQ

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.

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→ 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 449 integrations available for Infobip and PostgreSQL.

Popular · 7 of 449
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