Real-time
Two-way sync
Changes in Azure Service Bus or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to Google Cloud Spanner integration — real-time, two-way sync
Keep Azure Service Bus and Google Cloud Spanner in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Service Bus and Google Cloud Spanner
Keep Google Cloud Spanner and Azure Service Bus in step: the rows in your database and the Dead-letter queue, Scheduled / deferred messages, Queues, Topics your engineering tools track stay consistent in real time, in both directions.
Google Cloud Spanner is where your application's durable data lives; Azure Service Bus is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Change streams, Views, Databases, Tables in Google Cloud Spanner with Dead-letter queue, Scheduled / deferred messages, Queues, Topics in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.
- 02 Consolidate data from a globally distributed Spanner deployment into regional business systems.
- 03 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.
- 04 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in Google Cloud Spanner and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Azure Service Bus arrive as row changes in Google Cloud Spanner, and writes to Google Cloud Spanner propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
Where Azure Service Bus manages users or groups: keep identity aligned
Directory and identity records in Azure Service Bus stay matched to the users or owners table in Google Cloud Spanner, so provisioning and de-provisioning flow from one source.
What you can sync between Azure Service Bus and Google Cloud Spanner
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 | Google Cloud Spanner objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Interleaved tables Child rows physically co-located with parents; synced as related records. | Sessions is specific to Azure Service Bus and Interleaved tables to Google Cloud Spanner — 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. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | Dead-letter queue is specific to Azure Service Bus and Secondary indexes to Google Cloud Spanner — 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. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | Scheduled / deferred messages is specific to Azure Service Bus and Change streams to Google Cloud Spanner — 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. | Views Read-only projections useful for shaping data before it leaves Spanner. | Queues is specific to Azure Service Bus and Views to Google Cloud Spanner — 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. | Databases Top-level containers that scope schema and sync configuration. | Topics is specific to Azure Service Bus and Databases to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. | Tables Relational tables mapped one-to-one to sync targets. | Subscriptions is specific to Azure Service Bus and Tables to Google Cloud Spanner — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Google Cloud Spanner
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 Google Cloud Spanner 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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Google Cloud Spanner Azure Service Bus Sub-second propagation
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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.
- Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
What ships with Azure Service Bus ⇄ Google Cloud Spanner
Connect Azure Service Bus and Google Cloud Spanner for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Google Cloud Spanner connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Google Cloud Spanner 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 Google Cloud Spanner record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Google Cloud Spanner 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 Google Cloud Spanner.
How the Azure Service Bus and Google Cloud Spanner 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
Google Cloud Spanner
- Integration surface
- gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
- Authentication
- Google Cloud IAM (service accounts)
- Change detection
- Change streams (log-style CDC), or timestamp-based polling queries
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works
How to connect Azure Service Bus to Google Cloud Spanner — 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.
- 01
Connect your apps
Authenticate Azure Service Bus and Google Cloud Spanner with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure Service Bus
connected
Google Cloud Spanner
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Google Cloud Spanner 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.
objects · Azure Service Bus ⇄ Google Cloud SpannerCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Azure Service Bus Google Cloud SpannerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Google Cloud Spanner integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Sessions and Dead-letter queue), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Google Cloud Spanner. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Azure Service Bus: 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. On Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Google Cloud Spanner side: Change streams, Views, Databases, Tables, plus custom fields where Google Cloud Spanner exposes them. On the Azure Service Bus side: Dead-letter queue, Scheduled / deferred messages, Queues, Topics. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Azure Service Bus and Google Cloud Spanner: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Azure Service Bus manages users or groups: keep identity aligned. Read and write the synced tables in Google Cloud Spanner and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 306 integrations available for Azure Service Bus and Google Cloud Spanner.
Popular · 8 of 306
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Azure Service Bus ⇄ TiDB -
Azure Service Bus ⇄ TimescaleDB -
Azure Service Bus ⇄ VoltDB -
Azure Service Bus ⇄ YugabyteDB -
Google Cloud Spanner ⇄ Opsgenie -
Google Cloud Spanner ⇄ PagerDuty -
Google Cloud Spanner ⇄ Jira -
Google Cloud Spanner ⇄ Rabbitmq
No integrations match .
