Real-time
Two-way sync
Changes in Atlassian or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Atlassian to Snowflake integration — real-time, two-way sync
Keep Atlassian and Snowflake 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 Snowflake
Get the data locked inside Atlassian into Snowflake 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 Attachments, Custom Fields, Workflows and Statuses, Users and Groups from Atlassian into tables in Snowflake continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Snowflake can also be written back into fields in Atlassian where the tool can use them.
Common use cases
- Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
- Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
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 Snowflake sync back onto records in Atlassian, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Snowflake preserves a queryable record even as data ages out of Atlassian or gets changed inside it.
What you can sync between Atlassian and Snowflake
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 | Snowflake objects | |
|---|---|---|
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Stages File staging areas used for bulk loads into synced tables. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. |
What ships with Atlassian ⇄ Snowflake
Connect Atlassian and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Snowflake 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 Snowflake record.
Observability
Monitoring
Track your Atlassian ⇄ Snowflake 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 Snowflake.
How the Atlassian and Snowflake 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
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
How it works
How to connect Atlassian to Snowflake — 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 Snowflake 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
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Snowflake 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 ⇄ SnowflakeCustomers 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 SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Snowflake: authenticate both systems, choose the objects to sync (such as Atlassian's Confluence Pages and Confluence Spaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Atlassian and Snowflake: Cross-tool reporting; Where Atlassian accepts updates: operational write-back; History that outlives the tool. Combine Atlassian's data with data from every other synced system to answer questions no single tool can.
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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. Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Each Atlassian product has its own REST API and resource model; a sync spanning Jira and Confluence talks to separate endpoints under one Atlassian identity. Snowflake: Compute runs on virtual warehouses that are billed and scaled separately from storage, so sync workloads can be isolated on their own warehouse. Stacksync's field mapping accounts for these differences between Atlassian and Snowflake 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 Snowflake 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 Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Snowflake integration in-house.
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 Snowflake.
Popular · 8 of 386
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Atlassian ⇄ Vertica -
Atlassian ⇄ Yellowbrick -
Atlassian ⇄ BigQuery -
Atlassian ⇄ MotherDuck -
Snowflake ⇄ GitHub -
Snowflake ⇄ Braze -
Snowflake ⇄ ConnectWise -
Snowflake ⇄ Aviato
No integrations match .
