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Azure Service Bus to ClickHouse integration — real-time, two-way sync

Keep Azure Service Bus and ClickHouse 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 Azure Service Bus and ClickHouse

Close the gap between analytics and operations: ClickHouse holds the record while Azure Service Bus runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.

ClickHouse is the central store where teams keep Tables (MergeTree family), Databases, Views, Materialized views for reporting and analysis; Azure Service Bus runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Messages, Rules / Filters, Sessions, Dead-letter queue produced in Azure Service Bus are exactly what analysts want to measure in ClickHouse, and the curated rows in ClickHouse are what should drive the next action in Azure Service Bus. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.

Stacksync syncs Tables (MergeTree family), Databases, Views, Materialized views in ClickHouse with Messages, Rules / Filters, Sessions, Dead-letter queue in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.

Common use cases

  • 01 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 02 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • 03 Fan out CRM or ERP record changes to a topic and let billing, analytics, and notification subscriptions each filter with SQL rules and react without coupling to the source.
  • 04 Bridge order or workflow events off a subscription into an ERP or ticketing system as they arrive, mapping message properties and the payload to target fields.

Common sync patterns

Warehouse signals reach Azure Service Bus

A row scored, flagged, or enriched in ClickHouse creates or updates the matching record in Azure Service Bus, so the operational tool acts on the same data the analysts already see.

Backfill history, then stay live

Load the existing set of Messages, Rules / Filters, Sessions, Dead-letter queue into ClickHouse once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

No batch jobs to babysit

New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.

What you can sync between Azure Service Bus and ClickHouse

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.

Azure Service Bus objects ClickHouse objects How this pairing syncs
Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Rules / Filters is specific to Azure Service Bus and Tables (MergeTree family) to ClickHouse — each maps to any object or custom field on the other side.
Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. Databases Namespaces that group tables and scope permissions for sync users. Sessions is specific to Azure Service Bus and Databases to ClickHouse — each maps to any object or custom field on the other side.
Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. Views Saved queries used as curated, read-only sync sources. Dead-letter queue is specific to Azure Service Bus and Views to ClickHouse — each maps to any object or custom field on the other side.
Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Scheduled / deferred messages is specific to Azure Service Bus and Materialized views to ClickHouse — each maps to any object or custom field on the other side.
Queues Point-to-point entity: a sender writes messages and one competing consumer at a time receives them under PeekLock, then completes or abandons each message. Distributed tables Query-routing tables over cluster shards in self-managed deployments. Queues is specific to Azure Service Bus and Distributed tables to ClickHouse — each maps to any object or custom field on the other side.
Topics Publish/subscribe entity a publisher sends to; each message is fanned out to every subscription whose filter rules match, so many consumers get their own copy. Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Topics is specific to Azure Service Bus and Dictionaries to ClickHouse — each maps to any object or custom field on the other side.

How changes propagate between Azure Service Bus and ClickHouse

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.

Azure Service Bus ClickHouse Interval-based propagation

DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.

DeliveryEach detected change is applied to ClickHouse as a row-level write, with types converted between the two schemas.

ClickHouse Azure Service Bus Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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

Rate-limit considerations

  • Azure Service Bus: Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity.
What ships with Azure Service Bus ⇄ ClickHouse

Connect Azure Service Bus and ClickHouse for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–ClickHouse connection.

Real-time

Two-way sync

Changes in Azure Service Bus or ClickHouse instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Service Bus or ClickHouse 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 Azure Service Bus or ClickHouse record.

Observability

Monitoring

Track your Azure Service Bus ⇄ ClickHouse sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Service Bus and ClickHouse.

How the Azure Service Bus and ClickHouse connectors work

Azure Service Bus

Integration surface
AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported)
Authentication
Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims
Change detection
Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers
Capabilities
read · write
Rate limits
Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write
How it works

How to connect Azure Service Bus to ClickHouse — 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 Azure Service Bus and ClickHouse 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
    Azure Service Bus connected
    ClickHouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Service Bus and ClickHouse 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 · Azure Service Bus ⇄ ClickHouse
    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
    Azure Service Bus ClickHouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Service Bus and ClickHouse 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
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ISO 27001
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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 419 integrations available for Azure Service Bus and ClickHouse.

Popular · 8 of 419
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