Two-way sync
Changes in Atlassian or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Greenplum in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Users and Groups, Confluence Pages, Confluence Spaces, Jira Issues from Atlassian into tables in Greenplum continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Greenplum can also be written back into fields in Atlassian where the tool can use them.
Segments, scores, or reference values computed in Greenplum sync back onto records in Atlassian, putting analysis where the work happens.
A continuously synced copy in Greenplum preserves a queryable record even as data ages out of Atlassian or gets changed inside it.
Records and events from Atlassian land in Greenplum as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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 | Greenplum objects | |
|---|---|---|
| Issue Comments Threaded discussion synced into linked tickets in external systems. | External tables Reference external files for bulk load paths alongside row-level syncs. | |
| Attachments Files on issues mirrored to paired records where needed. | Rows Read and written by key; distribution keys determine where rows live. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Databases Top-level containers that scope a sync connection. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Schemas Namespace tables and control which objects a sync can see. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Tables Heap or append-optimized tables mapped directly to sync targets. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Partitions Large tables are commonly partitioned by date, which shapes incremental reads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Greenplum connection.
Changes in Atlassian or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Greenplum 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 Greenplum record.
Track your Atlassian ⇄ Greenplum sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Greenplum.
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 Greenplum 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 Greenplum 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 two-way integration between Atlassian and Greenplum: 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.
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.
Common patterns for Atlassian and Greenplum: Where Atlassian accepts updates: operational write-back; History that outlives the tool; Analytics on Atlassian's data. Segments, scores, or reference values computed in Greenplum sync back onto records in Atlassian, putting analysis where the work happens.
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. Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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. Greenplum: Greenplum speaks the PostgreSQL wire protocol, so standard Postgres drivers and tools connect without special clients. Stacksync's field mapping accounts for these differences between Atlassian and Greenplum without custom code.
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 Greenplum records are not retained after a sync operation.
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 386 integrations available for Atlassian and Greenplum.