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Business productivity ⇄ Data warehouse

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

Keep Atlassian and Firebolt 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 Firebolt

Get the data locked inside Atlassian into Firebolt 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 Projects, Boards and Sprints, Issue Comments, Attachments from Atlassian into tables in Firebolt continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Firebolt 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 objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
  • Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.

Where Atlassian accepts updates: operational write-back

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

History that outlives the tool

A continuously synced copy in Firebolt 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 Firebolt as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Atlassian and Firebolt

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 Firebolt objects
Jira Projects Containers that scope issues, workflows, and permissions for a sync. External tables References to files in object storage used to stage bulk loads.
Boards and Sprints Agile structures read to report on sprint contents and status. Views Curated query surfaces commonly used as sources for reverse ETL.
Issue Comments Threaded discussion synced into linked tickets in external systems. Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically.
Attachments Files on issues mirrored to paired records where needed. Engines Compute resources that must be running for a sync to read or write.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Databases Logical containers holding the tables a sync targets.
Workflows and Statuses Status transitions mapped to stages in the paired system. Tables Managed columnar tables written with SQL; the main sync destination.
What ships with Atlassian ⇄ Firebolt

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Firebolt 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 Firebolt record.

Observability

Monitoring

Track your Atlassian ⇄ Firebolt 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 Firebolt.

How the Atlassian and Firebolt 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

Firebolt

Integration surface
SQL over a REST API, with JDBC, Python, and Node.js SDKs
Authentication
Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
Change detection
Polling; Firebolt is an analytics destination and does not expose a change feed
Capabilities
read · write
Rate limits
No fixed request quota; throughput depends on the engine size attached to the workload
How it works

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

    Choose tables

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

Atlassian and Firebolt 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 Firebolt.

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