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Developer tools ⇄ Data warehouse

Jira to Tinybird integration — real-time, two-way sync

Keep Jira and Tinybird 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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Why teams connect Jira and Tinybird

Close the gap between analytics and operations: Tinybird holds the record while Jira runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.

Tinybird is the central store where teams keep Tokens, Data Sources, Pipes, API Endpoints for reporting and analysis; Jira runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Worklogs, Sprints, Versions, Components produced in Jira are exactly what analysts want to measure in Tinybird, and the curated rows in Tinybird are what should drive the next action in Jira. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.

Stacksync syncs Tokens, Data Sources, Pipes, API Endpoints in Tinybird with Worklogs, Sprints, Versions, Components in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.

Common use cases

  • 01 Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
  • 02 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
  • 03 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.
  • 04 Two-way sync Issues and their status, assignee, and story points with a Postgres database so teams query and update sprint data in SQL.

Common sync patterns

Warehouse signals reach Jira

A row scored, flagged, or enriched in Tinybird creates or updates the matching record in Jira, so the operational tool acts on the same data the analysts already see.

Backfill history, then stay live

Load the existing set of Worklogs, Sprints, Versions, Components into Tinybird once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.

No batch jobs to babysit

New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.

What you can sync between Jira and Tinybird

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 Tinybird objects How this pairing syncs
Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Components is specific to Jira and Materialized Views to Tinybird — 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. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Users is specific to Jira and Workspaces to Tinybird — each maps to any object or custom field on the other side.
Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. Tokens Scoped credentials that control read and append rights per resource. Issues is specific to Jira and Tokens to Tinybird — each maps to any object or custom field on the other side.
Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Projects is specific to Jira and Data Sources to Tinybird — each maps to any object or custom field on the other side.
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. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Comments is specific to Jira and Pipes to Tinybird — 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. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Worklogs is specific to Jira and API Endpoints to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Jira and Tinybird

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.

Jira Tinybird Sub-second propagation

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 Tinybird as a row-level write, with types converted between the two schemas.

Tinybird Jira Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

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

Rate-limit considerations

  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Jira ⇄ Tinybird

Connect Jira and Tinybird for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Tinybird connection.

Real-time

Two-way sync

Changes in Jira or Tinybird instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jira or Tinybird 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 Jira or Tinybird record.

Observability

Monitoring

Track your Jira ⇄ Tinybird sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jira and Tinybird.

How the Jira and Tinybird connectors work

Jira

Integration surface
REST API v2 and v3 plus the Jira Software (Agile) REST API
Authentication
OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

How to connect Jira to Tinybird — 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 Jira and Tinybird 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
    Jira connected
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jira and Tinybird 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 · Jira ⇄ Tinybird
    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
    Jira Tinybird
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jira and Tinybird 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.

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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 310 integrations available for Jira and Tinybird.

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