Real-time
Two-way sync
Changes in Atlassian or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to TimescaleDB integration — real-time, two-way sync
Keep Atlassian and TimescaleDB 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 TimescaleDB
Mirror Atlassian's data into TimescaleDB 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 TimescaleDB.
Stacksync mirrors Jira Projects, Boards and Sprints, Issue Comments, Attachments from Atlassian into Schemas, Hypertables, Chunks, Continuous Aggregates in TimescaleDB 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.
- Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
React to changes as they happen
Updates in Atlassian arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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 TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Atlassian and TimescaleDB
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 | TimescaleDB objects | |
|---|---|---|
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Attachments Files on issues mirrored to paired records where needed. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Views Standard SQL views used to shape or filter data for consumers. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Schemas Postgres namespaces used to separate synced datasets by team or environment. |
What ships with Atlassian ⇄ TimescaleDB
Connect Atlassian and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Atlassian ⇄ TimescaleDB 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 TimescaleDB.
How the Atlassian and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Atlassian to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and TimescaleDB: 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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On the Atlassian side: Jira Projects, Boards and Sprints, Issue Comments, Attachments, plus custom fields where Atlassian exposes them. On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Atlassian and TimescaleDB: React to changes as they happen; One integration pattern for the whole stack; Read Atlassian with a query. Updates in Atlassian arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
-
Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Stacksync's field mapping accounts for these differences between Atlassian and TimescaleDB without custom code.
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 TimescaleDB.
Popular · 8 of 386
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Atlassian ⇄ OpenSearch -
Atlassian ⇄ Oracle DB -
Atlassian ⇄ RavenDB -
Atlassian ⇄ Redis Enterprise -
TimescaleDB ⇄ Resend - TimescaleDB ⇄ ServiceNow
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TimescaleDB ⇄ Slack -
TimescaleDB ⇄ Zendesk
No integrations match .
