Two-way sync
Changes in Atlassian or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and SAP Hana in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 SAP Hana.
Stacksync mirrors Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints from Atlassian into System-versioned temporal tables, System views (SYS schema), Column store tables, Row store tables in SAP Hana 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.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Atlassian are ordinary rows in SAP Hana; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in SAP Hana and Stacksync propagates the change into Atlassian, replacing custom integration code.
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 | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Jira Projects is specific to Atlassian and Column store tables to SAP Hana — 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. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Boards and Sprints is specific to Atlassian and Row store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Issue Comments is specific to Atlassian and Calculation views to SAP Hana — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. | Attachments is specific to Atlassian and SQL views to SAP Hana — 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. | Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Custom Fields is specific to Atlassian and Schemas to SAP Hana — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Workflows and Statuses is specific to Atlassian and Sequences to SAP Hana — 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.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
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–SAP Hana connection.
Changes in Atlassian or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or SAP Hana 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 SAP Hana record.
Track your Atlassian ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and SAP Hana.
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 SAP Hana 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 SAP Hana 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 SAP Hana: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Projects and Boards and Sprints), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Atlassian side: Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints, plus custom fields where Atlassian exposes them. On the SAP Hana side: System-versioned temporal tables, System views (SYS schema), Column store tables, Row store tables. Stacksync auto-detects both schemas and converts types between the two systems.
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 SAP Hana: One integration pattern for the whole stack; Read Atlassian with a query; Automate Atlassian from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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. SAP Hana: SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access. Authentication: Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. SAP Hana: Column store is the analytics-optimized default; very high-write OLTP tables may live in the row store, which behaves differently for change capture. Stacksync's field mapping accounts for these differences between Atlassian and SAP Hana without custom code.
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 478 integrations available for Atlassian and SAP Hana.