Two-way sync
Changes in Amazon Aurora or Infobip instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Amazon Aurora next to everything else.
Stacksync mirrors Delivery Reports & Logs, Persons (People CDP), SMS Messages, WhatsApp Messages from Infobip into Tables, Views, Materialized Views, Columns and Data Types in Amazon Aurora 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.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
Every message, call, or event Infobip records becomes rows in Amazon Aurora, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in Amazon Aurora and Stacksync propagates it into Infobip, so your code sends the message, places the call, or schedules the meeting without integration glue.
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.
| Amazon Aurora objects | Infobip objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | 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. | Materialized Views is specific to Amazon Aurora and Numbers / Senders to Infobip — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | 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. | Columns and Data Types is specific to Amazon Aurora and Delivery Reports & Logs to Infobip — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | 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. | Primary and Foreign Keys is specific to Amazon Aurora and Persons (People CDP) to Infobip — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | 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. | Read Replicas is specific to Amazon Aurora and SMS Messages to Infobip — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | 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. | Databases is specific to Amazon Aurora and WhatsApp Messages to Infobip — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | 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. | Schemas is specific to Amazon Aurora and Email to Infobip — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Infobip through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Infobip connection.
Changes in Amazon Aurora or Infobip instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Infobip data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Infobip record.
Track your Amazon Aurora ⇄ Infobip sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Infobip.
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.
Authenticate Amazon Aurora 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.
Pick the Amazon Aurora 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Aurora and Infobip: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Materialized Views and Columns and Data Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
Infobip: API keys authenticate with the header 'Authorization: App <api-key>'; Basic auth and OAuth 2.0 are also supported, and keys are limited by per-endpoint scopes. Amazon Aurora: Aurora separates compute from a shared distributed storage layer that keeps six copies of data across three Availability Zones. Stacksync's field mapping accounts for these differences between Amazon Aurora and Infobip without custom code.
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 Amazon Aurora and Infobip records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Infobip connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Infobip integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Infobip. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Infobip: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 338 integrations available for Amazon Aurora and Infobip.