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Data warehouse ⇄ Communications

Apache Druid to Infobip integration — real-time, two-way sync

Keep Apache Druid 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 Apache Druid and Infobip

Land the messages, calls, and events from Infobip in Apache Druid 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 Email, Conversations, Numbers / Senders, Delivery Reports & Logs from Infobip into tables in Apache Druid in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Apache Druid — 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 Sync Conversations threads, tags, and agent assignment into a CRM or helpdesk so support history lives alongside the customer record.
  • 02 Mirror email bounces, complaints, and opt-outs back onto CRM contact records so other tools stop messaging suppressed people.
  • 03 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 04 Expose product telemetry stored in Druid to business tools without granting direct cluster access.

Common sync patterns

Activity joined with everything else

Combine Infobip's activity with the CRM, product, and support data already in Apache Druid 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 Apache Druid sync back onto records in Infobip, putting warehouse analysis where the outreach happens.

Queryable history that outlives retention

A continuously synced copy in Apache Druid 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 Apache Druid 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.

Apache Druid objects Infobip objects How this pairing syncs
Tasks Batch ingestion and compaction jobs monitored during data loads. 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. Tasks is specific to Apache Druid and Delivery Reports & Logs to Infobip — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. 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. Datasources is specific to Apache Druid and Persons (People CDP) to Infobip — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. 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. Segments is specific to Apache Druid and SMS Messages to Infobip — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. 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. Dimensions is specific to Apache Druid and WhatsApp Messages to Infobip — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. 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. Metrics is specific to Apache Druid and Email to Infobip — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. 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. Ingestion Supervisors is specific to Apache Druid and Conversations to Infobip — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Infobip Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Infobip

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Infobip record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Infobip connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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

    Choose tables

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

Apache Druid and Infobip integration FAQ

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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 344 integrations available for Apache Druid and Infobip.

Popular · 8 of 344
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