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Business productivity ⇄ Database

Atlassian to OpenSearch integration — real-time, two-way sync

Keep Atlassian and OpenSearch 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 Atlassian and OpenSearch

Mirror Atlassian's data into OpenSearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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 OpenSearch.

Stacksync mirrors Attachments, Custom Fields, Workflows and Statuses, Users and Groups from Atlassian into Indexes, Documents, Index aliases, Index templates in OpenSearch 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.

Common use cases

  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Index support tickets and activity logs from SaaS tools for operational dashboards.
  • Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

Automate Atlassian from your codebase

Write to the synced tables in OpenSearch and Stacksync propagates the change into Atlassian, replacing custom integration code.

React to changes as they happen

Updates in Atlassian arrive as row changes in OpenSearch, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Atlassian and OpenSearch

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 OpenSearch objects
Attachments Files on issues mirrored to paired records where needed. Ingest pipelines Server-side processors that transform documents as they are written
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Data streams Append-oriented time-series storage for logs and events pushed from source systems
Workflows and Statuses Status transitions mapped to stages in the paired system. Snapshots Backup artifacts, relevant when reseeding an index from a repository
Users and Groups Assignees and reporters matched to identities in other tools. Indexes The core container; synced records land in indexes with defined mappings
Confluence Pages Documentation content readable and writable through the Confluence REST API. Documents JSON records written via the index and bulk APIs and read via search queries
Confluence Spaces Namespaces that scope page syncs and permissions. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills
What ships with Atlassian ⇄ OpenSearch

Connect Atlassian and OpenSearch for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Atlassian or OpenSearch instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or OpenSearch 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 Atlassian or OpenSearch record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Atlassian and OpenSearch.

How the Atlassian and OpenSearch connectors work

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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

How to connect Atlassian to OpenSearch — 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 Atlassian and OpenSearch 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
    Atlassian connected
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and OpenSearch 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 · Atlassian ⇄ OpenSearch
    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
    Atlassian OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and OpenSearch integration FAQ

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.

Learn more about security
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:

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 386 integrations available for Atlassian and OpenSearch.

Popular · 8 of 386
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