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

Keep Azure Service Bus and Gatekeeper 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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  • 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 Gatekeeper

Connect the tickets, records, and events in Gatekeeper to the systems engineering runs in Azure Service Bus, kept current in real time and in both directions.

Gatekeeper is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Azure Service Bus is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Custom data groups, Users, Categories, Contracts in Gatekeeper with Sessions, Dead-letter queue, Scheduled / deferred messages, Queues in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Push generated documents into Gatekeeper Files, or pull executed contract PDFs and compliance evidence out into a document store or archive.
  • 02 Stream workflow-form data - intake requests, vendor onboarding, risk assessments - into an operational database for cycle-time and compliance reporting.
  • 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 shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

Where Azure Service Bus tracks engineering work: requests become issues

A ticket or request raised in Gatekeeper opens or updates a matching issue in Azure Service Bus, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.

Where Azure Service Bus moves messages between services: activity lands on the stream

Records created or changed in Gatekeeper publish to the queue or topic in Azure Service Bus as they happen, so downstream services react to real events rather than polling for them.

What you can sync between Azure Service Bus and Gatekeeper

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 Gatekeeper objects How this pairing syncs
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. Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. Scheduled / deferred messages is specific to Azure Service Bus and Workflow form data to Gatekeeper — 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. Custom data groups Customer-configured custom fields and data groups; because the JSON:API and its docs are dynamic, any custom data added in Configuration exposes the same read/write endpoints as the standard objects and syncs the same way. Queues is specific to Azure Service Bus and Custom data groups to Gatekeeper — 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. Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. Topics is specific to Azure Service Bus and Users to Gatekeeper — 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. Categories The classification taxonomy applied to contracts and vendors (type, department, business unit); synced so categorization stays consistent between Gatekeeper and downstream reporting or ERP dimensions. Subscriptions is specific to Azure Service Bus and Categories to Gatekeeper — 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. Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. Messages is specific to Azure Service Bus and Contracts to Gatekeeper — 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. Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. Rules / Filters is specific to Azure Service Bus and Vendors (Suppliers) to Gatekeeper — each maps to any object or custom field on the other side.

How changes propagate between Azure Service Bus and Gatekeeper

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 Gatekeeper 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 written to Gatekeeper through its API, with automatic retries and rate-limit backoff.

Gatekeeper Azure Service Bus Interval-based propagation

DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.

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.
  • Gatekeeper: Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
What ships with Azure Service Bus ⇄ Gatekeeper

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

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

Real-time

Two-way sync

Changes in Azure Service Bus or Gatekeeper 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 Gatekeeper 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 Gatekeeper record.

Observability

Monitoring

Track your Azure Service Bus ⇄ Gatekeeper 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 Gatekeeper.

How the Azure Service Bus and Gatekeeper 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

Gatekeeper

Integration surface
RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant.
Authentication
API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently.
Change detection
No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream.
Capabilities
read · write
Rate limits
Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
How it works

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

    Choose tables

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

Azure Service Bus and Gatekeeper 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
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:

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 286 integrations available for Azure Service Bus and Gatekeeper.

Popular · 8 of 286
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