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Jira to Neo4j integration — real-time, two-way sync

Keep Jira and Neo4j 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 Jira and Neo4j

Keep Neo4j and Jira in step: the rows in your database and the Users, Issues, Projects, Comments your engineering tools track stay consistent in real time, in both directions.

Neo4j 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 Labels, Indexes & Constraints, Databases, Users & Roles in Neo4j with Users, Issues, Projects, Comments 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.

Common use cases

  • 01 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
  • 02 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
  • 03 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.
  • 04 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.

Common sync patterns

React to changes on either side in near real time

Updates in Jira arrive as row changes in Neo4j, and writes to Neo4j propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.

Where Jira manages users or groups: keep identity aligned

Directory and identity records in Jira stay matched to the users or owners table in Neo4j, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in Neo4j 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.

What you can sync between Jira and Neo4j

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 Neo4j objects How this pairing syncs
Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. Labels Node type markers used to map source tables or objects onto the graph. Versions is specific to Jira and Labels to Neo4j — 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. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Components is specific to Jira and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.
Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Users is specific to Jira and Databases to Neo4j — each maps to any object or custom field on the other side.
Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. Users & Roles Security principals controlling what an integration credential can query or modify. Issues is specific to Jira and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Projects is specific to Jira and Nodes to Neo4j — 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. Relationships Typed, directed edges that carry the connections syncs exist to model. Comments is specific to Jira and Relationships to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Jira and Neo4j

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.

Jira Neo4j Sub-second propagation

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 written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j Jira Sub-second propagation

DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.

DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Jira ⇄ Neo4j

Connect Jira and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Neo4j connection.

Real-time

Two-way sync

Changes in Jira or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jira or Neo4j 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 Jira or Neo4j record.

Observability

Monitoring

Track your Jira ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jira and Neo4j.

How the Jira and Neo4j connectors work

Jira

Integration surface
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
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC
How it works

How to connect Jira to Neo4j — 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.

  1. 01

    Connect your apps

    Authenticate Jira and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Jira connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jira and Neo4j 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Jira ⇄ Neo4j
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Jira Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jira and Neo4j integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 396 integrations available for Jira and Neo4j.

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