Real-time
Two-way sync
Changes in Atlassian or Supabase instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to Supabase integration — real-time, two-way sync
Keep Atlassian and Supabase 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
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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 Supabase
Mirror Atlassian's data into Supabase so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineering teams run delivery in Jira while their product runs on Supabase, so connecting the two puts operational database state next to the work that changes it. Syncing Jira Issues and Custom Fields with Supabase Tables and auth.users lets teams track user-reported problems and schema work against live application data.
Stacksync mirrors Boards and Sprints, Issue Comments, Attachments, Custom Fields from Atlassian into Row Level Security Policies, JSONB Columns, Database Functions, Storage Object Metadata in Supabase 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
- 01 Mirror Jira Issues into a Supabase table so product dashboards query ticket state with SQL.
- 02 Keep Row Level Security Policy reviews tied to the Jira Project that mandated them.
- 03 Expose Jira Custom Fields as JSONB Columns for flexible reporting without API calls.
- 04 Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
Common sync patterns
Bug context from production data
Supabase auth.users and Table rows referenced in a report are linked to the Jira Issue tracking the fix.
Schema change tracking
changes to Supabase Schemas and Views are logged as Jira Issues routed into Boards and Sprints.
Comment-level audit trail
Issue Comments and Attachments on database-related tickets sync alongside the affected Supabase Tables.
What you can sync between Atlassian and Supabase
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 | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Schemas Namespaces (public and custom) that scope sync access. | Issue Comments is specific to Atlassian and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Attachments is specific to Atlassian and auth.users to Supabase — 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. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Custom Fields is specific to Atlassian and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Workflows and Statuses is specific to Atlassian and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Database Functions Postgres functions that can transform or validate synced rows. | Users and Groups is specific to Atlassian and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Confluence Pages is specific to Atlassian and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Supabase
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 Supabase 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 Supabase as a row-level write, with types converted between the two schemas.
Supabase Atlassian Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Atlassian ⇄ Supabase
Connect Atlassian and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Supabase 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 Supabase record.
Observability
Monitoring
Track your Atlassian ⇄ Supabase 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 Supabase.
How the Atlassian and Supabase 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
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Atlassian to Supabase — 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.
- 01
Connect your apps
Authenticate Atlassian and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Supabase 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.
objects · Atlassian ⇄ SupabaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Supabase: authenticate both systems, choose the objects to sync (such as Atlassian's Issue Comments and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Stacksync's field mapping accounts for these differences between Atlassian and Supabase without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Atlassian and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
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