Real-time
Two-way sync
Changes in Airtable or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Airtable to Atlassian integration — real-time, two-way sync
Keep Airtable and Atlassian 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
Case study
Migrated from Mulesoft
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Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Airtable and Atlassian
Mirror Atlassian's data into Airtable so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Atlassian through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Airtable.
Stacksync mirrors Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces from Atlassian into Attachments, Collaborators, Bases, Tables in Airtable and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Atlassian, so the tool and the database never disagree.
Common use cases
- Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- Write cleaned records edited in Airtable back to the source system of record, keeping both sides consistent in near real time.
- Use Airtable as a lightweight front end for product catalogs or inventory stored in an ERP or warehouse database.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Atlassian with a query
Records from Atlassian are ordinary rows in Airtable; join them, index them, and use them in application logic without touching the vendor API.
Automate Atlassian from your codebase
Write to the synced tables in Airtable and Stacksync propagates the change into Atlassian, replacing custom integration code.
What you can sync between Airtable and Atlassian
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.
| Airtable objects | Atlassian objects | |
|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Confluence Pages Documentation content readable and writable through the Confluence REST API. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Confluence Spaces Namespaces that scope page syncs and permissions. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Jira Projects Containers that scope issues, workflows, and permissions for a sync. | |
| Linked records Cross-table references that carry relationships between synced tables. | Boards and Sprints Agile structures read to report on sprint contents and status. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Issue Comments Threaded discussion synced into linked tickets in external systems. |
What ships with Airtable ⇄ Atlassian
Connect Airtable and Atlassian for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Atlassian connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Atlassian 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 Airtable or Atlassian record.
Observability
Monitoring
Track your Airtable ⇄ Atlassian sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Airtable and Atlassian.
How the Airtable and Atlassian connectors work
Airtable
- Integration surface
- REST API (per-base Web API plus metadata and webhooks endpoints)
- Authentication
- OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks
- Change detection
- Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- The Web API enforces a per-base limit of 5 requests per second.
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
How it works
How to connect Airtable to Atlassian — 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 Airtable and Atlassian with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Airtable
connected
Atlassian
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Atlassian 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 · Airtable ⇄ AtlassianCustomers 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.
Airtable AtlassianCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Atlassian integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Atlassian: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Records), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Airtable and Atlassian: One integration pattern for the whole stack; Read Atlassian with a query; Automate Atlassian from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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Airtable: REST API (per-base Web API plus metadata and webhooks endpoints). Authentication: OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks. Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Jira custom fields are identified by instance-specific IDs (customfield_XXXXX), so field mappings must be discovered per site rather than hard-coded. Airtable: Every base exposes its own REST endpoint, and the metadata API lets integrations read table and field schemas programmatically. Stacksync's field mapping accounts for these differences between Airtable and Atlassian 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 Airtable and Atlassian records are not retained after a sync operation.
SECURITY
Security teams love 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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Airtable and Atlassian.
Popular · 8 of 386
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Airtable ⇄ Orderful -
Airtable ⇄ Resend - Airtable ⇄ ServiceNow
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Airtable ⇄ Slack -
Atlassian ⇄ InfluxDB -
Atlassian ⇄ InterSystems IRIS -
Atlassian ⇄ MarkLogic -
Atlassian ⇄ Neo4j
No integrations match .
