Two-way sync
Changes in Jira or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and OCI Database (Oracle Cloud) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
OCI Database (Oracle Cloud) 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 PL/SQL procedures and packages, JSON collections, Partitions, Tables in OCI Database (Oracle Cloud) 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.
Read and write the synced tables in OCI Database (Oracle Cloud) and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Jira arrive as row changes in OCI Database (Oracle Cloud), and writes to OCI Database (Oracle Cloud) propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Jira stay matched to the users or owners table in OCI Database (Oracle Cloud), so provisioning and de-provisioning flow from one source.
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 | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Worklogs is specific to Jira and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | Sprints is specific to Jira and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Partitions Physical table subdivisions relevant when replicating large fact tables | Versions is specific to Jira and Partitions to OCI Database (Oracle Cloud) — 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. | Tables The primary sync surface; rows are read and written directly over SQL | Components is specific to Jira and Tables to OCI Database (Oracle Cloud) — 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. | Views Read-only projections used to expose curated subsets to downstream systems | Users is specific to Jira and Views to OCI Database (Oracle Cloud) — 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. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | Issues is specific to Jira and Materialized views to OCI Database (Oracle Cloud) — 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 OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.
DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling.
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–OCI Database (Oracle Cloud) connection.
Changes in Jira or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) record.
Track your Jira ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and OCI Database (Oracle Cloud).
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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Jira's Worklogs and Sprints), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the OCI Database (Oracle Cloud) side: PL/SQL procedures and packages, JSON collections, Partitions, Tables, plus custom fields where OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud): One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Jira manages users or groups: keep identity aligned. Read and write the synced tables in OCI Database (Oracle Cloud) and Stacksync keeps Jira current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. OCI Database (Oracle Cloud): SQL wire protocol (Oracle Net) via JDBC, ODBC, and native drivers; ORDS REST optionally exposes tables over HTTP. Authentication: Database credentials, commonly with mutual TLS using a client wallet on Autonomous Database; OCI IAM integration available. Stacksync manages authentication, retries, and rate limits on both sides.
OCI Database (Oracle Cloud): The converged data model holds relational, JSON, spatial, and graph data in one engine, so a single connection can cover mixed workloads. Jira: The v3 REST API represents description and comment bodies as Atlassian Document Format (ADF) JSON; v2 uses plain-text / wiki-markup strings. Stacksync's field mapping accounts for these differences between Jira and OCI Database (Oracle Cloud) 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 313 integrations available for Jira and OCI Database (Oracle Cloud).