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Business productivity ⇄ Data warehouse

Atlassian to MotherDuck integration — real-time, two-way sync

Keep Atlassian and MotherDuck 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 Atlassian and MotherDuck

Get the data locked inside Atlassian into MotherDuck as live tables, and send results back where Atlassian can use them, without writing a pipeline.

Connecting Atlassian to MotherDuck puts Jira delivery data in an analytical warehouse built for fast SQL. Jira Issues and Boards and Sprints land in MotherDuck Tables and Schemas, where analysts model cycle time and throughput, and Database Shares distribute the results across teams.

Stacksync syncs Confluence Pages, Confluence Spaces, Jira Issues, Jira Projects from Atlassian into tables in MotherDuck continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in MotherDuck can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • 01 Engineering leadership tracks cross-project throughput from warehouse Views instead of per-board Jira reports.
  • 02 Analysts blend synced Custom Fields with other warehouse data to segment work by customer or initiative.
  • 03 Local analysis runs against the same synced tables through Attached Local DuckDB Databases.
  • 04 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.

Common sync patterns

Delivery analytics pipeline

Jira Issues and Issue Comments load into MotherDuck Tables organized by Schema per Jira Project.

Sprint metrics models

Boards and Sprints data feeds Views that compute velocity and carry-over per team.

Shared engineering datasets

curated Jira data publishes via Database Shares to stakeholders and Attached Local DuckDB Databases.

What you can sync between Atlassian and MotherDuck

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 MotherDuck objects How this pairing syncs
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Database Shares Read-only copies of a database shared with other users or teams. Custom Fields is specific to Atlassian and Database Shares to MotherDuck — each maps to any object or custom field on the other side.
Workflows and Statuses Status transitions mapped to stages in the paired system. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Workflows and Statuses is specific to Atlassian and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side.
Users and Groups Assignees and reporters matched to identities in other tools. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Users and Groups is specific to Atlassian and Databases to MotherDuck — each maps to any object or custom field on the other side.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Schemas Namespaces within a database used to organize synced tables. Confluence Pages is specific to Atlassian and Schemas to MotherDuck — each maps to any object or custom field on the other side.
Confluence Spaces Namespaces that scope page syncs and permissions. Tables The main landing target for synced records and source for analysis. Confluence Spaces is specific to Atlassian and Tables to MotherDuck — 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. Views Modeled projections used as outbound sync sources. Jira Issues is specific to Atlassian and Views to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and MotherDuck

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 MotherDuck 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 applied to MotherDuck as a row-level write, with types converted between the two schemas.

MotherDuck Atlassian Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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

Rate-limit considerations

  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Atlassian ⇄ MotherDuck

Connect Atlassian and MotherDuck for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–MotherDuck connection.

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or MotherDuck 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 MotherDuck record.

Observability

Monitoring

Track your Atlassian ⇄ MotherDuck 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 MotherDuck.

How the Atlassian and MotherDuck 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

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

How to connect Atlassian to MotherDuck — 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 Atlassian and MotherDuck 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
    Atlassian connected
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and MotherDuck 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 · Atlassian ⇄ MotherDuck
    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
    Atlassian MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and MotherDuck 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 387 integrations available for Atlassian and MotherDuck.

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