Two-way sync
Changes in Apache Doris or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Doris 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.
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 Apache Doris continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Doris can also be written back into fields in Atlassian where the tool can use them.
Records and events from Atlassian land in Apache Doris as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Atlassian's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Apache Doris sync back onto records in Atlassian, putting analysis where the work happens.
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 Doris objects | Atlassian objects | How this pairing syncs | |
|---|---|---|---|
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Confluence Pages Documentation content readable and writable through the Confluence REST API. | Unique Key Tables is specific to Apache Doris and Confluence Pages to Atlassian — each maps to any object or custom field on the other side. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Confluence Spaces Namespaces that scope page syncs and permissions. | Aggregate Key Tables is specific to Apache Doris and Confluence Spaces to Atlassian — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Partitions is specific to Apache Doris and Jira Issues to Atlassian — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Materialized Views is specific to Apache Doris and Jira Projects to Atlassian — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Boards and Sprints Agile structures read to report on sprint contents and status. | Users and Roles is specific to Apache Doris and Boards and Sprints to Atlassian — each maps to any object or custom field on the other side. | |
| Databases Logical containers that scope connections and grants. | Issue Comments Threaded discussion synced into linked tickets in external systems. | Databases is specific to Apache Doris and Issue Comments to Atlassian — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
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 Apache Doris as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Atlassian connection.
Changes in Apache Doris or Atlassian instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Doris or Atlassian data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Doris or Atlassian record.
Track your Apache Doris ⇄ Atlassian sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Doris and Atlassian.
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.
Authenticate Apache Doris 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.
Pick the Apache Doris 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Atlassian: authenticate both systems, choose the objects to sync (such as Apache Doris's Unique Key Tables and Aggregate Key Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Doris and Atlassian. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. 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.
On the Atlassian side: Attachments, Custom Fields, Workflows and Statuses, Users and Groups, plus custom fields where Atlassian exposes them. On the Apache Doris side: Tables, Unique Key Tables, Aggregate Key Tables, Partitions. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Apache Doris and Atlassian: Analytics on Atlassian's data; Cross-tool reporting; Where Atlassian accepts updates: operational write-back. Records and events from Atlassian land in Apache Doris as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 374 integrations available for Apache Doris and Atlassian.