Two-way sync
Changes in Jira or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and SAP ASE (Sybase) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SAP ASE (Sybase) is where your application's durable data lives; Jira is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Triggers, Indexes, Tables, Views in SAP ASE (Sybase) with Components, Users, Issues, Projects in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
A new or changed row in SAP ASE (Sybase) creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
Records and events from Jira arrive in SAP ASE (Sybase) as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in SAP ASE (Sybase) and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| Jira objects | SAP ASE (Sybase) objects | How this pairing syncs | |
|---|---|---|---|
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | Versions is specific to Jira and Triggers to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | Components is specific to Jira and Indexes to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Tables The core sync unit; rows are read and written with standard SQL. | Users is specific to Jira and Tables to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Views Read-only projections used to shape data for extraction without touching base tables. | Issues is specific to Jira and Views to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | Projects is specific to Jira and Stored Procedures to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Databases and Schemas Namespaces that scope sync configuration and permissions. | Comments is specific to Jira and Databases and Schemas to SAP ASE (Sybase) — 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.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is applied to SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–SAP ASE (Sybase) connection.
Changes in Jira or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or SAP ASE (Sybase) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jira or SAP ASE (Sybase) record.
Track your Jira ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and SAP ASE (Sybase).
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 Jira and SAP ASE (Sybase) 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 Jira and SAP ASE (Sybase) 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 Jira and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Jira's Versions and Components), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Jira and SAP ASE (Sybase). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Jira: Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback. On SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP ASE (Sybase) side: Triggers, Indexes, Tables, Views, plus custom fields where SAP ASE (Sybase) exposes them. On the Jira side: Components, Users, Issues, Projects. 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 Jira and SAP ASE (Sybase): Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. A new or changed row in SAP ASE (Sybase) creates or updates the matching record in Jira, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
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 345 integrations available for Jira and SAP ASE (Sybase).