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Business productivity ⇄ Data warehouse

Atlassian to Azure Synapse Analytics integration — real-time, two-way sync

Keep Atlassian and Azure Synapse Analytics 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 Atlassian and Azure Synapse Analytics

Get the data locked inside Atlassian into Azure Synapse Analytics as live tables, and send results back where Atlassian can use them, without writing a pipeline.

Whatever Atlassian is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Jira Issues, Jira Projects, Boards and Sprints, Issue Comments from Atlassian into tables in Azure Synapse Analytics continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Azure Synapse Analytics can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • 01 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
  • 02 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
  • 03 Consolidate SaaS data alongside lake data so analysts join both through one SQL surface.
  • 04 Load CRM and ERP records into Synapse dedicated SQL pool tables for enterprise reporting.

Common sync patterns

Cross-tool reporting

Combine Atlassian's data with data from every other synced system to answer questions no single tool can.

Where Atlassian accepts updates: operational write-back

Segments, scores, or reference values computed in Azure Synapse Analytics sync back onto records in Atlassian, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Azure Synapse Analytics preserves a queryable record even as data ages out of Atlassian or gets changed inside it.

What you can sync between Atlassian and Azure Synapse Analytics

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 Azure Synapse Analytics objects How this pairing syncs
Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Jira Issues is specific to Atlassian and SQL pools to Azure Synapse Analytics — each maps to any object or custom field on the other side.
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Jira Projects is specific to Atlassian and Tables (dedicated SQL pool) to Azure Synapse Analytics — each maps to any object or custom field on the other side.
Boards and Sprints Agile structures read to report on sprint contents and status. External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Boards and Sprints is specific to Atlassian and External tables to Azure Synapse Analytics — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Views Curated projections used when downstream tools should not read base tables directly. Issue Comments is specific to Atlassian and Views to Azure Synapse Analytics — each maps to any object or custom field on the other side.
Attachments Files on issues mirrored to paired records where needed. Schemas Namespaces that separate staging, integration, and presentation layers. Attachments is specific to Atlassian and Schemas to Azure Synapse Analytics — each maps to any object or custom field on the other side.
Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Custom Fields is specific to Atlassian and Materialized views to Azure Synapse Analytics — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and Azure Synapse Analytics

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.

Atlassian Azure Synapse Analytics Sub-second propagation

DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.

DeliveryEach detected change is applied to Azure Synapse Analytics as a row-level write, with types converted between the two schemas.

Azure Synapse Analytics Atlassian Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

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

What ships with Atlassian ⇄ Azure Synapse Analytics

Connect Atlassian and Azure Synapse Analytics for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or Azure Synapse Analytics 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 Azure Synapse Analytics record.

Observability

Monitoring

Track your Atlassian ⇄ Azure Synapse Analytics 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 Azure Synapse Analytics.

How the Atlassian and Azure Synapse Analytics 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

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write
How it works

How to connect Atlassian to Azure Synapse Analytics — 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 Azure Synapse Analytics 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
    Azure Synapse Analytics connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Atlassian and Azure Synapse Analytics 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 ⇄ Azure Synapse Analytics
    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 Azure Synapse Analytics
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Atlassian and Azure Synapse Analytics 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
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→ 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 479 integrations available for Atlassian and Azure Synapse Analytics.

Popular · 7 of 479
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