Real-time
Two-way sync
Changes in Exasol or Jira instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Developer tools
Exasol to Jira integration — real-time, two-way sync
Keep Exasol and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Exasol and Jira
Close the gap between analytics and operations: Exasol holds the record while Jira runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.
Exasol is the central store where teams keep Views, Virtual schemas, UDF scripts, Users and roles for reporting and analysis; Jira runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Sprints, Versions, Components, Users produced in Jira are exactly what analysts want to measure in Exasol, and the curated rows in Exasol are what should drive the next action in Jira. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Views, Virtual schemas, UDF scripts, Users and roles in Exasol with Sprints, Versions, Components, Users in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Common use cases
- 01 Consolidate data from multiple operational databases into Exasol as the central analytics layer.
- 02 Keep dimension tables such as customers and products aligned with the systems of record.
- 03 Load Issues, Worklogs, and status transitions into a warehouse for cycle-time, throughput, and burndown reporting.
- 04 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.
Common sync patterns
One shared record, kept consistent
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Keep user and access records aligned
Where Jira manages users, directory, or access data, those records stay current in Exasol — and can be provisioned back from it — so ownership and permissions match across both.
Operational data lands in Exasol for analytics
Records created in Jira — issues, events, messages, metrics, or user changes — replicate into Exasol tables as they happen, so reporting runs on current data instead of last night's export.
What you can sync between Exasol and Jira
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.
| Exasol objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Users and roles Grant read/write access for the dedicated integration account. | Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Users and roles is specific to Exasol and Versions to Jira — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that group the tables a sync reads from or writes into. | Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Schemas is specific to Exasol and Components to Jira — each maps to any object or custom field on the other side. | |
| Tables Primary sync target; columnar relational tables written with standard SQL. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Tables is specific to Exasol and Users to Jira — each maps to any object or custom field on the other side. | |
| Views Read-only query surfaces often used as curated sources for reverse ETL. | 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 is specific to Exasol and Issues to Jira — each maps to any object or custom field on the other side. | |
| Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Virtual schemas is specific to Exasol and Projects to Jira — each maps to any object or custom field on the other side. | |
| UDF scripts In-database functions that can transform synced data after load. | 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. | UDF scripts is specific to Exasol and Comments to Jira — each maps to any object or custom field on the other side. |
How changes propagate between Exasol and Jira
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.
Exasol Jira Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Jira Exasol Sub-second propagation
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 Exasol as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
- Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Exasol ⇄ Jira
Connect Exasol and Jira for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–Jira connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Exasol or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Exasol or Jira record.
Observability
Monitoring
Track your Exasol ⇄ Jira sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Exasol and Jira.
How the Exasol and Jira connectors work
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session limits
Jira
- Integration surface
- 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
- Change detection
- 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.
- Capabilities
- read · write · webhooks
- Rate limits
- Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
How it works
How to connect Exasol to Jira — three steps, no code
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.
- 01
Connect your apps
Authenticate Exasol and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Exasol
connected
Jira
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Exasol and Jira 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.
objects · Exasol ⇄ JiraCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Exasol JiraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Exasol and Jira integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Exasol and Jira: authenticate both systems, choose the objects to sync (such as Exasol's Users and roles and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Exasol and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Exasol–Jira integration in-house.
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Yes — Stacksync ships production-grade connectors for both Exasol and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Exasol side: Views, Virtual schemas, UDF scripts, Users and roles, plus custom fields where Exasol exposes them. On the Jira side: Sprints, Versions, Components, Users. 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.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
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CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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