Two-way sync
Changes in Jira or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Keep Jira 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.
MarkLogic is where your application's durable data lives; Jira is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Databases & Forests, Users & Roles, Documents, Collections in MarkLogic with Components, Users, Issues, Projects in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Directory and identity records in Jira stay matched to the users or owners table in MarkLogic, so provisioning and de-provisioning flow from one source.
A new or changed row in MarkLogic creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Jira arrive in MarkLogic as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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.
| Jira objects | MarkLogic objects | How this pairing syncs | |
|---|---|---|---|
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Databases & Forests Storage units that define the scope and placement of synced content. | Projects is specific to Jira and Databases & Forests to MarkLogic — each maps to any object or custom field on the other side. | |
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Users & Roles Security principals that govern what an integration credential can read or write. | Comments is specific to Jira and Users & Roles to MarkLogic — each maps to any object or custom field on the other side. | |
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Documents JSON and XML documents, the primary records read from and written to the database. | Worklogs is specific to Jira and Documents to MarkLogic — each maps to any object or custom field on the other side. | |
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Collections Named groupings used to scope which documents a sync reads or updates. | Sprints is specific to Jira and Collections to MarkLogic — each maps to any object or custom field on the other side. | |
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | Versions is specific to Jira and Semantic Triples to MarkLogic — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | Components is specific to Jira and TDE Views to MarkLogic — 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.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is applied to MarkLogic as a row-level write, with types converted between the two schemas.
DetectionStacksync polls MarkLogic for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction log.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–MarkLogic connection.
Changes in Jira or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira 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 Jira or MarkLogic record.
Track your Jira ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira 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 Jira 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 Jira 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 Jira and MarkLogic: authenticate both systems, choose the objects to sync (such as Jira's Projects and Comments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Jira: Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback. On MarkLogic: No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MarkLogic side: Databases & Forests, Users & Roles, Documents, Collections, plus custom fields where MarkLogic exposes them. On the Jira side: Components, Users, Issues, Projects. 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 Jira and MarkLogic: Where Jira manages users or groups: keep identity aligned; Turn rows into the records your tools track; Land tool activity as queryable rows. Directory and identity records in Jira stay matched to the users or owners table in MarkLogic, so provisioning and de-provisioning flow from one source.
Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. 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.
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 317 integrations available for Jira and MarkLogic.