Two-way sync
Changes in Atlassian or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and VoltDB 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 VoltDB.
Stacksync mirrors Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints from Atlassian into Materialized Views, Streams, Export Targets and Topics, Partitioned Tables in VoltDB 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.
Write to the synced tables in VoltDB and Stacksync propagates the change into Atlassian, replacing custom integration code.
Updates in Atlassian arrive as row changes in VoltDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | VoltDB objects | |
|---|---|---|
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Attachments Files on issues mirrored to paired records where needed. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Stored Procedures Precompiled transactional units that serve as the primary write interface. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–VoltDB connection.
Changes in Atlassian or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or VoltDB 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 VoltDB record.
Track your Atlassian ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and VoltDB.
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 VoltDB 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 VoltDB 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 VoltDB: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Issues and Jira Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Atlassian and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Atlassian side: Confluence Spaces, Jira Issues, Jira Projects, Boards and Sprints, plus custom fields where Atlassian exposes them. On the VoltDB side: Materialized Views, Streams, Export Targets and Topics, Partitioned 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 VoltDB: Automate Atlassian from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in VoltDB and Stacksync propagates the change into Atlassian, replacing custom integration 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 386 integrations available for Atlassian and VoltDB.