Two-way sync
Changes in InfluxDB or Jira instantly reflect in both systems. No stale data, no manual imports.
Keep InfluxDB 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.
InfluxDB 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 Buckets / databases, Measurements, Points, Tags in InfluxDB with Comments, Worklogs, Sprints, Versions 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.
Directory and identity records in Jira stay matched to the users or owners table in InfluxDB, so provisioning and de-provisioning flow from one source.
A new or changed row in InfluxDB 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 InfluxDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
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.
| InfluxDB objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Points Individual time-stamped records, the unit of write via line protocol. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Points is specific to InfluxDB and Users to Jira — each maps to any object or custom field on the other side. | |
| Tags Indexed key-value metadata used for filtering and as sync partition keys. | 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. | Tags is specific to InfluxDB and Issues to Jira — each maps to any object or custom field on the other side. | |
| Fields The unindexed numeric or string values carried by each point. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Fields is specific to InfluxDB and Projects to Jira — each maps to any object or custom field on the other side. | |
| Retention policies Automatic expiry rules that determine how long synced history remains queryable. | 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. | Retention policies is specific to InfluxDB and Comments to Jira — each maps to any object or custom field on the other side. | |
| Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Organizations is specific to InfluxDB and Worklogs to Jira — each maps to any object or custom field on the other side. | |
| Buckets / databases Named containers with retention settings that scope reads and writes. | Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Buckets / databases is specific to InfluxDB and Sprints to Jira — 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.
DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
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 InfluxDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InfluxDB–Jira connection.
Changes in InfluxDB or Jira instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever InfluxDB or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single InfluxDB or Jira record.
Track your InfluxDB ⇄ Jira sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between InfluxDB and Jira.
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 InfluxDB 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.
Pick the InfluxDB 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.
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 InfluxDB and Jira: authenticate both systems, choose the objects to sync (such as InfluxDB's Points and Tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. 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. Stacksync manages authentication, retries, and rate limits on both sides.
InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Jira: Dynamic webhooks created via REST expire after 30 days and must be refreshed, and OAuth 2.0 apps are capped at 5 webhooks per user per tenant. Stacksync's field mapping accounts for these differences between InfluxDB and Jira without custom code.
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 InfluxDB and Jira records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed InfluxDB and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom InfluxDB–Jira integration in-house.
Yes — Stacksync ships production-grade connectors for both InfluxDB and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 332 integrations available for InfluxDB and Jira.