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Database ⇄ Communications

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

Keep AWS Aurora MySQL 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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Why teams connect AWS Aurora MySQL and Infobip

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

Stacksync mirrors SMS Messages, WhatsApp Messages, Email, Conversations from Infobip into Columns, Primary keys and indexes, Views, Foreign keys in AWS Aurora MySQL 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 Land delivery reports, seen receipts, and inbound replies from notifyUrl webhooks into a warehouse table for per-campaign deliverability and engagement reporting.
  • 02 Sync Conversations threads, tags, and agent assignment into a CRM or helpdesk so support history lives alongside the customer record.
  • 03 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 04 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.

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 AWS Aurora MySQL, 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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 MySQL objects Infobip objects How this pairing syncs
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. 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 indexes is specific to AWS Aurora MySQL and Delivery Reports & Logs to Infobip — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered 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 is specific to AWS Aurora MySQL and Persons (People CDP) to Infobip — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects 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 MySQL and SMS Messages to Infobip — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. 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. Stored procedures and triggers is specific to AWS Aurora MySQL and WhatsApp Messages to Infobip — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. 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. Databases (schemas) is specific to AWS Aurora MySQL and Email to Infobip — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. 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 is specific to AWS Aurora MySQL and Conversations to Infobip — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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 MySQL Infobip Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

Infobip AWS Aurora MySQL 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 MySQL 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 MySQL ⇄ Infobip

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 MySQL 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 MySQL or Infobip record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and Infobip.

How the AWS Aurora MySQL and Infobip connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL connected
    Infobip connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL 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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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 354 integrations available for AWS Aurora MySQL and Infobip.

Popular · 7 of 354
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