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Business productivity ⇄ Database

Atlassian to SingleStore integration — real-time, two-way sync

Keep Atlassian and SingleStore 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 SingleStore

Mirror Atlassian's data into SingleStore 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 SingleStore.

Stacksync mirrors Issue Comments, Attachments, Custom Fields, Workflows and Statuses from Atlassian into Indexes and Shard Keys, Databases, Tables (rowstore and columnstore), Views in SingleStore 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 projects into a SQL database for engineering throughput and SLA reporting.
  • 02 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • 03 Keep reference data consistent between SingleStore and application databases.
  • 04 Feed synced operational data into applications that need low-latency responses over fresh data.

Common sync patterns

React to changes as they happen

Updates in Atlassian arrive as row changes in SingleStore, 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 SingleStore; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Atlassian and SingleStore

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 SingleStore objects How this pairing syncs
Jira Projects Containers that scope issues, workflows, and permissions for a sync. Views Read-only projections used as curated sync sources. Jira Projects is specific to Atlassian and Views to SingleStore — each maps to any object or custom field on the other side.
Boards and Sprints Agile structures read to report on sprint contents and status. Reference Tables Small tables replicated to every node, often used for dimension data in syncs. Boards and Sprints is specific to Atlassian and Reference Tables to SingleStore — each maps to any object or custom field on the other side.
Issue Comments Threaded discussion synced into linked tickets in external systems. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Issue Comments is specific to Atlassian and Pipelines to SingleStore — each maps to any object or custom field on the other side.
Attachments Files on issues mirrored to paired records where needed. Stored Procedures Existing logic sometimes invoked on write paths. Attachments is specific to Atlassian and Stored Procedures to SingleStore — 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. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Custom Fields is specific to Atlassian and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side.
Workflows and Statuses Status transitions mapped to stages in the paired system. Databases The connection target containing the tables a sync addresses. Workflows and Statuses is specific to Atlassian and Databases to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between Atlassian and SingleStore

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

SingleStore Atlassian Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

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

Rate-limit considerations

  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Atlassian ⇄ SingleStore

Connect Atlassian and SingleStore for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Atlassian or SingleStore instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Atlassian or SingleStore 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 SingleStore record.

Observability

Monitoring

Track your Atlassian ⇄ SingleStore 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 SingleStore.

How the Atlassian and SingleStore 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

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

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

    Choose tables

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

Atlassian and SingleStore 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.

Learn more about security
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:

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 387 integrations available for Atlassian and SingleStore.

Popular · 7 of 387
All Atlassian integrations All SingleStore integrations Browse all integrations
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