Real-time
Two-way sync
Changes in Apache Druid or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
Apache Druid to Atlassian integration — real-time, two-way sync
Keep Apache Druid and Atlassian 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 Apache Druid and Atlassian
Get the data locked inside Atlassian into Apache Druid 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 Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages from Atlassian into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid 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.
- Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
- Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
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 Apache Druid sync back onto records in Atlassian, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Atlassian or gets changed inside it.
What you can sync between Apache Druid and Atlassian
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.
| Apache Druid objects | Atlassian objects | |
|---|---|---|
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Jira Projects Containers that scope issues, workflows, and permissions for a sync. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Boards and Sprints Agile structures read to report on sprint contents and status. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Issue Comments Threaded discussion synced into linked tickets in external systems. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Attachments Files on issues mirrored to paired records where needed. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. |
What ships with Apache Druid ⇄ Atlassian
Connect Apache Druid and Atlassian for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Atlassian connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Druid or Atlassian 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 Apache Druid or Atlassian record.
Observability
Monitoring
Track your Apache Druid ⇄ Atlassian sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Druid and Atlassian.
How the Apache Druid and Atlassian connectors work
Apache Druid
- Integration surface
- REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
- Authentication
- Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
- Change detection
- Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
- Capabilities
- read · write
- Rate limits
- No fixed API quotas; query concurrency is bounded by broker and historical node capacity
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
How it works
How to connect Apache Druid to Atlassian — 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 Apache Druid and Atlassian with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Druid
connected
Atlassian
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Druid and Atlassian 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 · Apache Druid ⇄ AtlassianCustomers 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.
Apache Druid AtlassianCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Druid and Atlassian integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Druid and Atlassian: authenticate both systems, choose the objects to sync (such as Apache Druid's Datasources and Segments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Apache Druid and Atlassian. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Atlassian side: Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages, plus custom fields where Atlassian exposes them. On the Apache Druid side: Metrics, Ingestion Supervisors, Lookups, Tasks. 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 Apache Druid and Atlassian: 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.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Druid and Atlassian.
Popular · 8 of 386
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Apache Druid ⇄ Lemlist -
Apache Druid ⇄ Lusha -
Apache Druid ⇄ Microsoft 365 -
Apache Druid ⇄ Microsoft Dynamics 365 -
Atlassian ⇄ Rockset -
Atlassian ⇄ Starburst Enterprise -
Atlassian ⇄ StarRocks -
Atlassian ⇄ Teradata Vantage
No integrations match .
