Real-time
Two-way sync
Changes in Atlassian or Ramp instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Accounting and finance
Atlassian to Ramp integration — real-time, two-way sync
Keep Atlassian and Ramp 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Atlassian and Ramp
Connect the financial records in Ramp with the work happening in Atlassian, so both stay current without exports or copy-paste.
Ramp holds the financial truth: who the customers are, what they were billed, what they paid. Atlassian is where part of the day-to-day work happens, and that work often involves the same customers and transactions. Without a live connection, the two drift apart, and people end up answering questions from stale copies.
Stacksync keeps General Ledger Accounts, Transactions, Cards, Users in Ramp and Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian in sync, bi-directionally and in real time. Whatever records Atlassian keeps and whatever events it produces, the overlap with Ramp is mapped field by field, and a change on either side shows up on the other within seconds.
There is no middleware to build, no API rate limits to babysit, and no nightly job that leaves the morning running on yesterday's data.
Common use cases
- 01 Mirror Bills and their approval and payment state into an AP or ERP system, marking each one ready-to-sync then synced to keep both ledgers reconciled.
- 02 Read Reimbursements into a finance database for cross-entity expense reporting and reconciliation without manual CSV exports.
- 03 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- 04 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
Common sync patterns
Where Atlassian handles customer conversations: billing context in view
Front-line teams see invoice and payment status from Ramp next to the customer they are helping, without logging into the finance system.
Where Atlassian collects payments or triggers charges: events land in Ramp
Payment and charge activity flows into Ramp as it happens, so the books reflect reality without manual reconciliation.
Where Atlassian tracks people or companies: one identity
A customer's details updated in either system update the other, so finance and the rest of the business stop maintaining two versions of the same customer.
What you can sync between Atlassian and Ramp
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.
| Atlassian objects | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Custom Fields is specific to Atlassian and Cards to Ramp — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Workflows and Statuses is specific to Atlassian and Users to Ramp — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Users and Groups is specific to Atlassian and Departments to Ramp — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Confluence Pages is specific to Atlassian and Reimbursements to Ramp — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. | Confluence Spaces is specific to Atlassian and Bills to Ramp — each maps to any object or custom field on the other side. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Vendors Supplier records under the accounting namespace; uploaded and updated for AP matching and payments. | Jira Issues is specific to Atlassian and Vendors to Ramp — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Ramp
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.
Atlassian Ramp Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is written to Ramp through its API, with automatic retries and rate-limit backoff.
Ramp Atlassian Sub-second propagation
DetectionRamp notifies Stacksync of record changes through webhook events. Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Ramp: 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
What ships with Atlassian ⇄ Ramp
Connect Atlassian and Ramp for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Ramp connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Ramp 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 Atlassian or Ramp record.
Observability
Monitoring
Track your Atlassian ⇄ Ramp sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Ramp.
How the Atlassian and Ramp connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
Ramp
- Integration surface
- REST API (Developer API v1)
- Authentication
- OAuth 2.0: exchange client_id/client_secret (HTTP Basic) at api.ramp.com/developer/v1/token for scoped bearer tokens; client_credentials grant for server-to-server and authorization_code for user-delegated access; scopes follow resource:permission (e.g. transactions:read, bills:write, accounting:write).
- Change detection
- Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed.
- Capabilities
- read · write · webhooks
- Rate limits
- 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
How it works
How to connect Atlassian to Ramp — 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 Atlassian and Ramp with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Ramp
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Ramp 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 · Atlassian ⇄ RampCustomers 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.
Atlassian RampCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Ramp integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Ramp: authenticate both systems, choose the objects to sync (such as Atlassian's Custom Fields and Workflows and Statuses), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Ramp connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Ramp integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Ramp. 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 Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Ramp: Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed. 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 Ramp side: General Ledger Accounts, Transactions, Cards, Users, plus custom fields where Ramp exposes them. On the Atlassian side: Jira Issues, Jira Projects, Boards and Sprints, Issue Comments. 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.
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
CSA STAR
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:
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