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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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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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.

Program and operations teams connect Airtable to Atlassian to report on and manage Jira work outside the engineering tool. Jira Issues, Boards and Sprints sync into Airtable Records and Views, giving non-engineering stakeholders roadmap visibility, while edits in Airtable flow back to Jira Custom Fields and issue data.

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

  • 01 Give stakeholders a Jira roadmap in Airtable using Linked records to group Issues by initiative.
  • 02 Track Issue Comments and Attachments context alongside planning data in one Base.
  • 03 Reprioritize a backlog in an Airtable View and have changes reflected on Jira Issues.
  • 04 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.

Common sync patterns

Portfolio view

Jira Issues and Jira Projects sync into Airtable Tables where PMs build roadmap Views for cross-functional stakeholders.

Sprint reporting

Boards and Sprints data populates Airtable Records for cross-team status tracking.

Two-way field sync

Airtable Fields map to Jira Custom Fields so prioritization edits in Airtable update the Issues.

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 How this pairing syncs
Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. Attachments Files on issues mirrored to paired records where needed. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. Workflows and Statuses Status transitions mapped to stages in the paired system. Collaborators is specific to Airtable and Workflows and Statuses to Atlassian — each maps to any object or custom field on the other side.
Bases Top-level containers; each base has its own API endpoint and schema. Users and Groups Assignees and reporters matched to identities in other tools. Bases is specific to Airtable and Users and Groups to Atlassian — each maps to any object or custom field on the other side.
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. Tables is specific to Airtable and Confluence Pages to Atlassian — each maps to any object or custom field on the other side.
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. Records is specific to Airtable and Confluence Spaces to Atlassian — each maps to any object or custom field on the other side.
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. Fields is specific to Airtable and Jira Issues to Atlassian — each maps to any object or custom field on the other side.

How changes propagate between Airtable and Atlassian

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.

Airtable Atlassian Sub-second propagation

DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).

DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.

Atlassian Airtable 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 Airtable through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Airtable: The Web API enforces a per-base limit of 5 requests per second.
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.

Real-time

Two-way sync

Changes in Airtable or Atlassian instantly reflect in both systems. No stale data, no manual imports.

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.
Airtable setup guide

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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Airtable connected
    Atlassian connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Airtable ⇄ Atlassian
    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
    Airtable Atlassian
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Airtable and Atlassian 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 479 integrations available for Airtable and Atlassian.

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