Two-way sync
Changes in Jira or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Jira 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.
Supabase is where your application's durable data lives; Jira is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Row Level Security Policies, JSONB Columns, Database Functions, Storage Object Metadata in Supabase with Projects, Comments, Worklogs, Sprints in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
A new or changed row in Supabase creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Jira arrive in Supabase as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in Supabase and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| Jira objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Views Read-side projections exposed to outbound syncs. | Comments is specific to Jira and Views to Supabase — each maps to any object or custom field on the other side. | |
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Schemas Namespaces (public and custom) that scope sync access. | Worklogs is specific to Jira and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Sprints is specific to Jira and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Versions is specific to Jira and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Components is specific to Jira and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Database Functions Postgres functions that can transform or validate synced rows. | Users is specific to Jira and Database Functions to Supabase — each maps to any object or custom field on the other side. |
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.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
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 Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Supabase connection.
Changes in Jira or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jira or Supabase record.
Track your Jira ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and Supabase.
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.
Authenticate Jira 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.
Pick the Jira 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Jira and Supabase: authenticate both systems, choose the objects to sync (such as Jira's Comments and Worklogs), map fields visually, and changes propagate both ways in milliseconds — no code required.
Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Jira: Dynamic webhooks created via REST expire after 30 days and must be refreshed, and OAuth 2.0 apps are capped at 5 webhooks per user per tenant. Stacksync's field mapping accounts for these differences between Jira and Supabase without custom code.
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 Jira and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Supabase integration in-house.
Yes — Stacksync ships production-grade connectors for both Jira and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Jira: Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 419 integrations available for Jira and Supabase.