Real-time
Two-way sync
Changes in Azure Service Bus or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to SingleStore integration — real-time, two-way sync
Keep Azure Service Bus and SingleStore 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 SingleStore
Keep SingleStore and Azure Service Bus in step: the rows in your database and the Messages, Rules / Filters, Sessions, Dead-letter queue your engineering tools track stay consistent in real time, in both directions.
SingleStore 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 Databases, Tables (rowstore and columnstore), Views, Reference Tables in SingleStore 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.
Common use cases
- 01 Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
- 02 Keep reference data consistent between SingleStore and application databases.
- 03 Receive messages from a queue or subscription with an AMQP receiver and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
- 04 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.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in SingleStore 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 SingleStore, and writes to SingleStore 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 SingleStore, so provisioning and de-provisioning flow from one source.
What you can sync between Azure Service Bus and SingleStore
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 | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Subscriptions is specific to Azure Service Bus and Indexes and Shard Keys to SingleStore — 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. | Databases The connection target containing the tables a sync addresses. | Messages is specific to Azure Service Bus and Databases to SingleStore — 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. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | Rules / Filters is specific to Azure Service Bus and Tables (rowstore and columnstore) to SingleStore — 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. | Views Read-only projections used as curated sync sources. | Sessions is specific to Azure Service Bus and Views to SingleStore — 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. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Dead-letter queue is specific to Azure Service Bus and Reference Tables to SingleStore — 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. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Scheduled / deferred messages is specific to Azure Service Bus and Pipelines to SingleStore — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and SingleStore
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 SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
SingleStore Azure Service Bus Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
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.
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Azure Service Bus ⇄ SingleStore
Connect Azure Service Bus and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or SingleStore 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 SingleStore record.
Observability
Monitoring
Track your Azure Service Bus ⇄ SingleStore 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 SingleStore.
How the Azure Service Bus and SingleStore 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
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect Azure Service Bus to SingleStore — 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 SingleStore 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
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and SingleStore 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 ⇄ SingleStoreCustomers 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 SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and SingleStore integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and SingleStore: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Subscriptions and Messages), map fields visually, and changes propagate both ways in milliseconds — no code required.
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SingleStore: Its universal storage combines rowstore and columnstore characteristics, letting the same tables serve transactional lookups and analytical scans. Azure Service Bus: Delivery is at-least-once under PeekLock: a message stays locked while being processed and is redelivered if it is not completed before the lock expires, so consumers should be idempotent or use duplicate detection (dedupe by MessageId). Stacksync's field mapping accounts for these differences between Azure Service Bus and SingleStore without custom code.
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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 SingleStore records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Service Bus and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–SingleStore integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and SingleStore. 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 SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 328 integrations available for Azure Service Bus and SingleStore.
Popular · 7 of 328
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Azure Service Bus ⇄ PostgreSQL -
Azure Service Bus ⇄ Amazon RDS -
Azure Service Bus ⇄ Supabase -
Azure Service Bus ⇄ MySQL -
SingleStore ⇄ Rabbitmq -
SingleStore ⇄ Datadog -
SingleStore ⇄ Ldap
No integrations match .
