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Business productivity ⇄ Data warehouse

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

Keep Atlassian and StarRocks 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 StarRocks

Get the data locked inside Atlassian into StarRocks 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 Jira Issues, Jira Projects, Boards and Sprints, Issue Comments from Atlassian into tables in StarRocks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in StarRocks can also be written back into fields in Atlassian where the tool can use them.

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.
  • Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
  • Land CRM and ERP records into StarRocks to serve low-latency operational dashboards

Where Atlassian accepts updates: operational write-back

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

History that outlives the tool

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

Analytics on Atlassian's data

Records and events from Atlassian land in StarRocks as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Atlassian and StarRocks

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 StarRocks objects
Issue Comments Threaded discussion synced into linked tickets in external systems. Views Logical views for shaping analytical reads.
Attachments Files on issues mirrored to paired records where needed. Partitions Time or range partitions that scope loads and retention.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Columns Columnar storage with types mapped from source systems during sync.
Workflows and Statuses Status transitions mapped to stages in the paired system. Databases Top-level namespaces addressed exactly as in MySQL clients.
Users and Groups Assignees and reporters matched to identities in other tools. Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Materialized views Automatically maintained rollups used to accelerate queries on synced data.
What ships with Atlassian ⇄ StarRocks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or StarRocks 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 StarRocks record.

Observability

Monitoring

Track your Atlassian ⇄ StarRocks 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 StarRocks.

How the Atlassian and StarRocks 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

StarRocks

Integration surface
MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Query-based polling when reading; StarRocks is most often the destination side of a sync
Capabilities
read · write
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas
How it works

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

    Choose tables

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

Atlassian and StarRocks 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 StarRocks.

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