Real-time sync
Changes in Atlassian or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and BetterContact in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into Atlassian, so Atlassian always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Two tools in the daily stack often hold overlapping information: the same people, the same companies, or the same pieces of work, described twice. The tools do different jobs, so consolidating is not the answer; the overlap just needs to stop drifting.
Stacksync syncs Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints in Atlassian with Company, Lead Finder Search, Enrichment Request, Enriched Contact in BetterContact in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
When work started in one tool continues in the other, the shared fields travel with it automatically.
Contact and company details corrected in either tool update the other, so nobody works from the old version.
Payments, replies, messages, or tickets created in one tool can create or update matching records in the other, keeping context in one place.
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 | BetterContact objects | How this pairing syncs | |
|---|---|---|---|
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Jira Projects is specific to Atlassian and Enrichment Request to BetterContact — 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. | Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Boards and Sprints is specific to Atlassian and Enriched Contact to BetterContact — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Issue Comments is specific to Atlassian and Company to BetterContact — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Attachments is specific to Atlassian and Lead Finder Search to BetterContact — 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.
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Atlassian records.
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–BetterContact connection.
Changes in Atlassian or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or BetterContact data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or BetterContact record.
Track your Atlassian ⇄ BetterContact sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and BetterContact.
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 Atlassian and BetterContact 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 Atlassian and BetterContact 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 integration between Atlassian and BetterContact — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and BetterContact connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–BetterContact integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and BetterContact. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On BetterContact: Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Atlassian side: Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints, plus custom fields where Atlassian exposes them. On the BetterContact side: Company, Lead Finder Search, Enrichment Request, Enriched Contact. Stacksync auto-detects both schemas and converts types between the two systems.
BetterContact is a read-only source, so this integration runs one-way: Stacksync reads from BetterContact in real time and delivers into Atlassian. Field mapping and monitoring work the same as for two-way pairs.
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 390 integrations available for Atlassian and BetterContact.