Two-way sync
Changes in Azure Service Bus or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and Google AlloyDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Google AlloyDB 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 Replication Slots, Databases, Schemas, Tables in Google AlloyDB 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 keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Read and write the synced tables in Google AlloyDB and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Azure Service Bus arrive as row changes in Google AlloyDB, and writes to Google AlloyDB propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Azure Service Bus stay matched to the users or owners table in Google AlloyDB, so provisioning and de-provisioning flow from one source.
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 AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Queues is specific to Azure Service Bus and Materialized Views to Google AlloyDB — 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. | Indexes Keep sync key lookups fast on high-volume tables. | Topics is specific to Azure Service Bus and Indexes to Google AlloyDB — 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. | Sequences ID generation relevant when external systems insert rows. | Subscriptions is specific to Azure Service Bus and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. | Replication Slots Logical replication artifacts that back log-based change capture. | Messages is specific to Azure Service Bus and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side. | |
| 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. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Rules / Filters is specific to Azure Service Bus and Databases to Google AlloyDB — 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. | Schemas Namespaces used to separate synced SaaS data from application tables. | Sessions is specific to Azure Service Bus and Schemas to Google AlloyDB — each maps to any object or custom field on the other side. |
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.
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 AlloyDB as a row-level write, with types converted between the two schemas.
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Google AlloyDB connection.
Changes in Azure Service Bus or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or Google AlloyDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Service Bus or Google AlloyDB record.
Track your Azure Service Bus ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Google AlloyDB.
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.
Authenticate Azure Service Bus and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Azure Service Bus and Google AlloyDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Queues and Topics), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Azure Service Bus and Google AlloyDB: 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 AlloyDB and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Azure Service Bus: 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. Google AlloyDB: SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP. Authentication: Database credentials or IAM database authentication. Stacksync manages authentication, retries, and rate limits on both sides.
Google AlloyDB: A built-in columnar engine accelerates analytical queries on the same data that serves transactional workloads. Azure Service Bus: FIFO ordering is not the default - it requires message sessions, which bind related messages by SessionId to a single consumer; without sessions, competing consumers process a queue in parallel with no global order. Stacksync's field mapping accounts for these differences between Azure Service Bus and Google AlloyDB without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Service Bus and Google AlloyDB records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 326 integrations available for Azure Service Bus and Google AlloyDB.