Two-way sync
Changes in Jira or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Jira 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.
VoltDB 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 Materialized Views, Streams, Export Targets and Topics, Partitioned Tables in VoltDB with Issues, Projects, Comments, Worklogs 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.
Updates in Jira arrive as row changes in VoltDB, and writes to VoltDB 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 VoltDB, so provisioning and de-provisioning flow from one source.
A new or changed row in VoltDB 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.
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 | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Sprints is specific to Jira and Partitioned Tables to VoltDB — 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. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Versions is specific to Jira and Replicated Tables to VoltDB — 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. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Components is specific to Jira and Stored Procedures to VoltDB — 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. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | Users is specific to Jira and Materialized Views to VoltDB — 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. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Issues is specific to Jira and Streams to VoltDB — 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. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | Projects is specific to Jira and Export Targets and Topics to VoltDB — 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 VoltDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
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–VoltDB connection.
Changes in Jira or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira 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 Jira or VoltDB record.
Track your Jira ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira 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 Jira 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 Jira 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 Jira and VoltDB: authenticate both systems, choose the objects to sync (such as Jira's Sprints and Versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Jira and VoltDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–VoltDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Jira and VoltDB. 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 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 VoltDB side: Materialized Views, Streams, Export Targets and Topics, Partitioned Tables, plus custom fields where VoltDB exposes them. On the Jira side: Issues, Projects, Comments, Worklogs. Stacksync auto-detects both schemas and converts types between the two systems.
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 324 integrations available for Jira and VoltDB.