Two-way sync
Changes in Atlassian or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and MarkLogic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Atlassian through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in MarkLogic.
Stacksync mirrors Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints from Atlassian into Users & Roles, Documents, Collections, Semantic Triples in MarkLogic and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Atlassian, so the tool and the database never disagree.
Records from Atlassian are ordinary rows in MarkLogic; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in MarkLogic and Stacksync propagates the change into Atlassian, replacing custom integration code.
Updates in Atlassian arrive as row changes in MarkLogic, so triggers, jobs, and services can respond in near real time.
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 | MarkLogic objects | |
|---|---|---|
| Attachments Files on issues mirrored to paired records where needed. | Databases & Forests Storage units that define the scope and placement of synced content. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Users & Roles Security principals that govern what an integration credential can read or write. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–MarkLogic connection.
Changes in Atlassian or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or MarkLogic data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or MarkLogic record.
Track your Atlassian ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and MarkLogic.
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 Atlassian and MarkLogic 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 Atlassian and MarkLogic 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 Atlassian and MarkLogic: authenticate both systems, choose the objects to sync (such as Atlassian's Attachments and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Atlassian side: Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints, plus custom fields where Atlassian exposes them. On the MarkLogic side: Users & Roles, Documents, Collections, Semantic Triples. 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 Atlassian and MarkLogic: Read Atlassian with a query; Automate Atlassian from your codebase; React to changes as they happen. Records from Atlassian are ordinary rows in MarkLogic; join them, index them, and use them in application logic without touching the vendor API.
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. MarkLogic: REST API (Client API), plus SQL/ODBC access over TDE views and Java/Node client libraries. Authentication: Username/password (digest or basic), with certificate-based options. Stacksync manages authentication, retries, and rate limits on both sides.
Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. MarkLogic: Template Driven Extraction (TDE) projects document content into rows that can be queried over SQL/ODBC, which simplifies warehouse-style reads. Stacksync's field mapping accounts for these differences between Atlassian and MarkLogic without custom code.
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 386 integrations available for Atlassian and MarkLogic.