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Business productivity ⇄ Database

Atlassian to Redis Enterprise integration — real-time, two-way sync

Keep Atlassian and Redis Enterprise 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 Redis Enterprise

Mirror Atlassian's data into Redis Enterprise 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 Redis Enterprise.

Stacksync mirrors Users and Groups, Confluence Pages, Confluence Spaces, Jira Issues from Atlassian into Streams, Pub/Sub channels, Search indexes, Keys (Strings) in Redis Enterprise 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

  • Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
  • Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.

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 Redis Enterprise; join them, index them, and use them in application logic without touching the vendor API.

Automate Atlassian from your codebase

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

What you can sync between Atlassian and Redis Enterprise

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 Redis Enterprise objects
Users and Groups Assignees and reporters matched to identities in other tools. Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values.
Confluence Pages Documentation content readable and writable through the Confluence REST API. Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID.
Confluence Spaces Namespaces that scope page syncs and permissions. JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores.
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. Sets Unordered unique-member collections used for membership checks like segment or ID lists.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes.
Boards and Sprints Agile structures read to report on sprint contents and status. Lists Ordered sequences often used as lightweight queues fed by sync events.
What ships with Atlassian ⇄ Redis Enterprise

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Redis Enterprise 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 Redis Enterprise record.

Observability

Monitoring

Track your Atlassian ⇄ Redis Enterprise 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 Redis Enterprise.

How the Atlassian and Redis Enterprise 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

Redis Enterprise

Integration surface
Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
Authentication
Password or ACL-based credentials, typically over TLS
Change detection
Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
Capabilities
read · write
Rate limits
Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works

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

    Choose tables

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

Atlassian and Redis Enterprise 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 Redis Enterprise.

Popular · 8 of 386
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