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Data warehouse ⇄ Communications

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

Keep BigQuery 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 BigQuery and Infobip

Land the messages, calls, and events from Infobip in BigQuery as live tables, and write results back, without building or maintaining a pipeline.

Infobip produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Delivery Reports & Logs, Persons (People CDP), SMS Messages, WhatsApp Messages from Infobip into tables in BigQuery in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in BigQuery — segments, contact updates, suppression flags — can be written back into fields in Infobip wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Trigger transactional SMS, WhatsApp, and email sends from database or application events (order shipped, OTP, appointment reminder) through the channel send endpoints.
  • 02 Land delivery reports, seen receipts, and inbound replies from notifyUrl webhooks into a warehouse table for per-campaign deliverability and engagement reporting.
  • 03 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Activity joined with everything else

Combine Infobip's activity with the CRM, product, and support data already in BigQuery to attribute outcomes to the touches that drove them, which no single tool can do alone.

Where Infobip accepts updates: operational write-back

Segments, contact fields, or suppression flags computed in BigQuery sync back onto records in Infobip, putting warehouse analysis where the outreach happens.

Queryable history that outlives retention

A continuously synced copy in BigQuery preserves messages, call logs, and events for reporting and audit even as they age out of Infobip or get purged inside it.

What you can sync between BigQuery 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.

BigQuery objects Infobip objects How this pairing syncs
Partitioned tables Synced like regular tables; partition columns map to target fields. 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. Partitioned tables is specific to BigQuery and SMS Messages to Infobip — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the 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. Clustered tables is specific to BigQuery and WhatsApp Messages to Infobip — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. 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. Datasets is specific to BigQuery and Email to Infobip — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. 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. Projects is specific to BigQuery and Conversations to Infobip — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. 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. Tables is specific to BigQuery and Numbers / Senders to Infobip — each maps to any object or custom field on the other side.

How changes propagate between BigQuery 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.

BigQuery Infobip Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

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

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • 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 BigQuery ⇄ Infobip

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery 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 BigQuery or Infobip record.

Observability

Monitoring

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

Trading partners

EDI

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

How the BigQuery and Infobip connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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

    Choose tables

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

BigQuery 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 446 integrations available for BigQuery and Infobip.

Popular · 7 of 446
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