Real-time
Two-way sync
Changes in Atlassian or Dremio instantly reflect in both systems. No stale data, no manual imports.
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.
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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
- 01 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- 02 Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- 03 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- 04 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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 Pages is specific to Atlassian and Apache Iceberg tables to Dremio — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Confluence Spaces is specific to Atlassian and Spaces and folders to Dremio — 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. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Jira Issues is specific to Atlassian and Reflections to Dremio — each maps to any object or custom field on the other side. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Jobs Query execution records useful for monitoring sync workloads. | Jira Projects is specific to Atlassian and Jobs to Dremio — each maps to any object or custom field on the other side. | |
| 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. | Boards and Sprints is specific to Atlassian and Sources to Dremio — each maps to any object or custom field on the other side. | |
| 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. | Issue Comments is specific to Atlassian and Physical datasets to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Dremio
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 Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Dremio Atlassian Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
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.
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.
- 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.
Atlassian
connected
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Atlassian ⇄ DremioCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Dremio integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Dremio: authenticate both systems, choose the objects to sync (such as Atlassian's Confluence Pages and Confluence Spaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Atlassian side: Attachments, Custom Fields, Workflows and Statuses, Users and Groups, plus custom fields where Atlassian exposes them. On the Dremio side: Reflections, Jobs, Sources, Physical datasets. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Atlassian and Dremio: Cross-tool reporting; Where Atlassian accepts updates: operational write-back; History that outlives the tool. Combine Atlassian's data with data from every other synced system to answer questions no single tool can.
-
Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Stacksync manages authentication, retries, and rate limits on both sides.
-
Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. Dremio: Virtual datasets let teams expose curated, governed views, so a sync can target business-ready SQL views instead of raw files. Stacksync's field mapping accounts for these differences between Atlassian and Dremio without custom code.
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.
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:
Related integrations
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