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Database ⇄ Communications

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

Keep Citus 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 Citus and Infobip

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

Stacksync mirrors Delivery Reports & Logs, Persons (People CDP), SMS Messages, WhatsApp Messages from Infobip into Distributed tables, Reference tables, Local tables, Schemas in Citus 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 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
  • 04 Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.

Common sync patterns

Trigger outbound communication from the database

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

One contact list across both

Recipients and contacts stay consistent between Infobip and Citus, 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 Citus as row changes, so triggers, jobs, and services can respond in near real time.

What you can sync between Citus 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.

Citus objects Infobip objects How this pairing syncs
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. 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. Distributed tables is specific to Citus and Numbers / Senders to Infobip — each maps to any object or custom field on the other side.
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. 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. Reference tables is specific to Citus and Delivery Reports & Logs to Infobip — each maps to any object or custom field on the other side.
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. 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. Local tables is specific to Citus and Persons (People CDP) to Infobip — each maps to any object or custom field on the other side.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. 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. Schemas is specific to Citus and SMS Messages to Infobip — each maps to any object or custom field on the other side.
Views Curated projections over distributed data, often used as read-only sync sources. 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. Views is specific to Citus and WhatsApp Messages to Infobip — each maps to any object or custom field on the other side.
Sequences Key generators that matter when external writes must not collide with application inserts. 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. Sequences is specific to Citus and Email to Infobip — each maps to any object or custom field on the other side.

How changes propagate between Citus 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.

Citus Infobip Sub-second propagation

DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.

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

Infobip Citus 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 Citus 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 Citus ⇄ Infobip

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus 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 Citus or Infobip record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Citus and Infobip connectors work

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

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

    Choose tables

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

Citus 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 336 integrations available for Citus and Infobip.

Popular · 8 of 336
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