Real-time
Two-way sync
Changes in Agiloft or Azure Service Bus instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Agiloft to Azure Service Bus integration — real-time, two-way sync
Keep Agiloft and Azure Service Bus 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 Agiloft and Azure Service Bus
Connect the tickets, records, and events in Agiloft to the systems engineering runs in Azure Service Bus, kept current in real time and in both directions.
Agiloft 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 Approvals, Tasks, Clause Library, Custom tables in Agiloft with Subscriptions, Messages, Rules / Filters, Sessions 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 Stream Approvals and Tasks into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.
- 02 Write contract or company records into Agiloft when a deal closes in the CRM to kick off downstream legal and procurement workflows.
- 03 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
- 04 Send new and changed database rows as messages to a Service Bus queue or topic so multiple downstream consumers process the change stream independently.
Common sync patterns
Where Azure Service Bus is the directory or identity source: one set of users
People and accounts in Agiloft stay matched to the users in Azure Service Bus, so access, provisioning, and org changes propagate instead of being keyed in twice.
Where Azure Service Bus watches operations: live volumes for visibility
Open items, throughput, and error counts from Agiloft replicate into Azure Service Bus, so the operational view reflects what is actually happening in the business.
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.
What you can sync between Agiloft and Azure Service Bus
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.
| Agiloft objects | Azure Service Bus objects | How this pairing syncs | |
|---|---|---|---|
| Clause Library Reusable, approved contract clauses with metadata and categories; read to feed clause content into other systems or reporting, or maintained from an external source of truth. | 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. | Clause Library is specific to Agiloft and Scheduled / deferred messages to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Custom tables Agiloft is a no-code platform, so any customer-built table (NDAs, SOWs, vendor risk, renewals) exposes the same REST and SOAP CRUD and syncs like the standard CLM tables. | 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 tables is specific to Agiloft and Queues to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Contracts The core table holding contract records with value, key dates, status, type, and linked parties; created and updated two-way so contract data moves between Agiloft and a database, ERP, or CRM. | 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. | Contracts is specific to Agiloft and Topics to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Companies Records for every organization - counterparties, vendors, customers - linked to contracts and people; read and written to keep account master data aligned with a CRM or ERP. | 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. | Companies is specific to Agiloft and Subscriptions to Azure Service Bus — each maps to any object or custom field on the other side. | |
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | 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. | People is specific to Agiloft and Messages to Azure Service Bus — each maps to any object or custom field on the other side. | |
| Attachments File records holding the executed contract PDFs and supporting documents linked to a contract; read to pull signed files out, or written to push generated documents in. | 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. | Attachments is specific to Agiloft and Rules / Filters to Azure Service Bus — each maps to any object or custom field on the other side. |
How changes propagate between Agiloft and Azure Service Bus
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.
Agiloft Azure Service Bus Sub-second propagation
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Azure Service Bus Agiloft 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 Agiloft through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Agiloft: Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
- 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 Agiloft ⇄ Azure Service Bus
Connect Agiloft and Azure Service Bus for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Azure Service Bus connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Agiloft or Azure Service Bus 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 Agiloft or Azure Service Bus record.
Observability
Monitoring
Track your Agiloft ⇄ Azure Service Bus sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Agiloft and Azure Service Bus.
How the Agiloft and Azure Service Bus connectors work
Agiloft
- Integration surface
- REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API
- Authentication
- OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login
- Change detection
- Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log.
- Capabilities
- read · write · webhooks
- Rate limits
- Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
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
How it works
How to connect Agiloft to Azure Service Bus — 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 Agiloft and Azure Service Bus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Agiloft
connected
Azure Service Bus
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Agiloft and Azure Service Bus 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 · Agiloft ⇄ Azure Service BusCustomers 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.
Agiloft Azure Service BusCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Agiloft and Azure Service Bus integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Azure Service Bus: authenticate both systems, choose the objects to sync (such as Agiloft's Clause Library and Custom tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Agiloft and Azure Service Bus: Where Azure Service Bus is the directory or identity source: one set of users; Where Azure Service Bus watches operations: live volumes for visibility; One shared record across both systems. People and accounts in Agiloft stay matched to the users in Azure Service Bus, so access, provisioning, and org changes propagate instead of being keyed in twice.
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Agiloft: REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API. Authentication: OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login. 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Agiloft: Agiloft exposes both a SOAP/EWS v2 interface (EWWSv2Service WSDL) and a REST interface under /ewws/rest/{kb}, authenticated with OAuth 2.0, JWT, or a session token. Azure Service Bus: A topic supports up to 2,000 subscriptions; Standard tier throttles around 1,000 operations per second with ServerBusy errors, while Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for predictable throughput. Stacksync's field mapping accounts for these differences between Agiloft and Azure Service Bus 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 Agiloft and Azure Service Bus 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 Agiloft and Azure Service Bus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Agiloft–Azure Service Bus integration in-house.
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
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