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Business productivity ⇄ Data warehouse

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

Keep Atlassian and Dremio 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 Dremio

Get the data locked inside Atlassian into Dremio 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 Attachments, Custom Fields, Workflows and Statuses, Users and Groups from Atlassian into tables in Dremio continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Dremio can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
  • Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.

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 Dremio sync back onto records in Atlassian, putting analysis where the work happens.

History that outlives the tool

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

What you can sync between Atlassian and Dremio

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 Dremio objects
Confluence Pages Documentation content readable and writable through the Confluence REST API. Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads.
Confluence Spaces Namespaces that scope page syncs and permissions. Spaces and folders Namespaces that organize virtual datasets and govern access.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Reflections Materialized accelerations that make repeated extraction queries cheaper.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Jobs Query execution records useful for monitoring sync workloads.
Boards and Sprints Agile structures read to report on sprint contents and status. Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place.
Issue Comments Threaded discussion synced into linked tickets in external systems. Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads.
What ships with Atlassian ⇄ Dremio

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Dremio 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 Dremio record.

Observability

Monitoring

Track your Atlassian ⇄ Dremio 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 Dremio.

How the Atlassian and Dremio 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

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits
How it works

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

    Choose tables

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

Atlassian and Dremio 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 Dremio.

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