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Business productivity ⇄ Data warehouse

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

Keep Atlassian and Yellowbrick 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

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Why teams connect Atlassian and Yellowbrick

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

Whatever Atlassian is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

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

Common use cases

  • Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
  • Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.

Cross-tool reporting

Combine Atlassian's data with data from every other synced system to answer questions no single tool can.

Where Atlassian accepts updates: operational write-back

Segments, scores, or reference values computed in Yellowbrick sync back onto records in Atlassian, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Yellowbrick preserves a queryable record even as data ages out of Atlassian or gets changed inside it.

What you can sync between Atlassian and Yellowbrick

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 Yellowbrick objects
Workflows and Statuses Status transitions mapped to stages in the paired system. Views Logical views used to shape reads for BI and downstream syncs.
Users and Groups Assignees and reporters matched to identities in other tools. Users and Roles Access-control objects that govern what a sync service account can read and write.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Databases Top-level containers for schemas and tables.
Confluence Spaces Namespaces that scope page syncs and permissions. Schemas Namespaces used to organize synced datasets by source or domain.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Tables Columnar MPP tables; the primary targets for warehouse syncs.
What ships with Atlassian ⇄ Yellowbrick

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Yellowbrick 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 Yellowbrick record.

Observability

Monitoring

Track your Atlassian ⇄ Yellowbrick 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 Yellowbrick.

How the Atlassian and Yellowbrick 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

Yellowbrick

Integration surface
SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
Authentication
Database credentials, with LDAP and Kerberos options in enterprise deployments
Change detection
Polling on timestamp columns; no exposed transaction-log CDC
Capabilities
read · write
Rate limits
No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works

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

    Choose tables

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

Atlassian and Yellowbrick integration FAQ

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.

Learn more about security
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:

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 386 integrations available for Atlassian and Yellowbrick.

Popular · 8 of 386
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