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Business productivity ⇄ Database

Atlassian to Dynamo DB integration — real-time, two-way sync

Keep Atlassian and Dynamo DB 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 Dynamo DB

Mirror Atlassian's data into Dynamo DB 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 Dynamo DB.

Stacksync mirrors Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages from Atlassian into DynamoDB Streams, Global Tables, Tables, Items in Dynamo DB 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

  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • Sync customer records between DynamoDB-backed services and a CRM so support and sales see live application state.
  • Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.

React to changes as they happen

Updates in Atlassian arrive as row changes in Dynamo DB, 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.

Read Atlassian with a query

Records from Atlassian are ordinary rows in Dynamo DB; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Atlassian and Dynamo DB

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 Dynamo DB objects
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Tables The top-level containers a sync targets; each table is addressed independently.
Boards and Sprints Agile structures read to report on sprint contents and status. Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs.
Issue Comments Threaded discussion synced into linked tickets in external systems. Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync.
Attachments Files on issues mirrored to paired records where needed. Partition and Sort Keys The primary key pair used as the match key for bi-directional sync.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes.
Workflows and Statuses Status transitions mapped to stages in the paired system. DynamoDB Streams Ordered item-level change records consumed for incremental sync.
What ships with Atlassian ⇄ Dynamo DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Dynamo DB 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 Dynamo DB record.

Observability

Monitoring

Track your Atlassian ⇄ Dynamo DB 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 Dynamo DB.

How the Atlassian and Dynamo DB 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

Dynamo DB

Integration surface
Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
Authentication
AWS IAM credentials with SigV4 request signing
Change detection
Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
Capabilities
read · write · CDC
Rate limits
Throughput is governed by the table's provisioned or on-demand capacity mode
How it works

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

    Choose tables

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

Atlassian and Dynamo DB 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Atlassian and Dynamo DB.

Popular · 8 of 386
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