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Database ⇄ Communications

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

Keep AWS Aurora PostgreSQL and Infobip 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and Infobip

Turn the messages, calls, and events Infobip handles into live rows in AWS Aurora 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 AWS Aurora PostgreSQL next to everything else.

Stacksync mirrors Persons (People CDP), SMS Messages, WhatsApp Messages, Email from Infobip into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora 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 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • 04 Sync JSONB-heavy application data into structured objects in downstream business systems.

Common sync patterns

One contact list across both

Recipients and contacts stay consistent between Infobip and AWS Aurora PostgreSQL, so a phone number or email corrected on either side is current the next time either system uses it.

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in AWS Aurora PostgreSQL as row changes, so triggers, jobs, and services can respond in near real time.

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.

What you can sync between AWS Aurora PostgreSQL and Infobip

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.

AWS Aurora PostgreSQL objects Infobip objects How this pairing syncs
Tables The core sync unit; rows are matched across systems by primary key. 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. Tables is specific to AWS Aurora PostgreSQL and Email to Infobip — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. 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. Rows is specific to AWS Aurora PostgreSQL and Conversations to Infobip — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. 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. Columns is specific to AWS Aurora PostgreSQL and Numbers / Senders to Infobip — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. 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. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Delivery Reports & Logs to Infobip — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Persons (People CDP) Contact profiles in the People module holding attributes, tags, and multi-channel contact data (mobile, email); full CRUD via GET/POST/PUT/DELETE /people/2/persons, so Infobip is both a source and a destination for contact records. Views and materialized views is specific to AWS Aurora PostgreSQL and Persons (People CDP) to Infobip — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. 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. Foreign keys is specific to AWS Aurora PostgreSQL and SMS Messages to Infobip — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Infobip

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.

AWS Aurora PostgreSQL Infobip Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Infobip AWS Aurora 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

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.
What ships with AWS Aurora PostgreSQL ⇄ Infobip

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the AWS Aurora PostgreSQL and Infobip connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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
How it works

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

    Choose tables

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

AWS Aurora PostgreSQL and Infobip 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 356 integrations available for AWS Aurora PostgreSQL and Infobip.

Popular · 7 of 356
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