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Developer tools ⇄ Database

Jira to SingleStore integration — real-time, two-way sync

Keep Jira and SingleStore 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 Jira and SingleStore

Keep SingleStore and Jira in step: the rows in your database and the Issues, Projects, Comments, Worklogs your engineering tools track stay consistent in real time, in both directions.

SingleStore 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 Views, Reference Tables, Pipelines, Stored Procedures in SingleStore 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.

Common use cases

  • 01 Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
  • 02 Keep reference data consistent between SingleStore and application databases.
  • 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

React to changes on either side in near real time

Updates in Jira arrive as row changes in SingleStore, and writes to SingleStore propagate to Jira within seconds, so triggers, jobs, and alerts fire without polling.

Where Jira manages users or groups: keep identity aligned

Directory and identity records in Jira stay matched to the users or owners table in SingleStore, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in SingleStore 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.

What you can sync between Jira and SingleStore

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 SingleStore 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. Views Read-only projections used as curated sync sources. Sprints is specific to Jira and Views to SingleStore — 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. Reference Tables Small tables replicated to every node, often used for dimension data in syncs. Versions is specific to Jira and Reference Tables to SingleStore — 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. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Components is specific to Jira and Pipelines to SingleStore — 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. Stored Procedures Existing logic sometimes invoked on write paths. Users is specific to Jira and Stored Procedures to SingleStore — 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. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Issues is specific to Jira and Indexes and Shard Keys to SingleStore — 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. Databases The connection target containing the tables a sync addresses. Projects is specific to Jira and Databases to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between Jira and SingleStore

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.

Jira SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.

SingleStore Jira Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Jira ⇄ SingleStore

Connect Jira and SingleStore for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–SingleStore connection.

Real-time

Two-way sync

Changes in Jira or SingleStore instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jira or SingleStore 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 Jira or SingleStore record.

Observability

Monitoring

Track your Jira ⇄ SingleStore sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jira and SingleStore.

How the Jira and SingleStore connectors work

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.

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

How to connect Jira to SingleStore — 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.

  1. 01

    Connect your apps

    Authenticate Jira and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Jira connected
    SingleStore connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jira and SingleStore 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Jira ⇄ SingleStore
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Jira SingleStore
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jira and SingleStore integration FAQ

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 328 integrations available for Jira and SingleStore.

Popular · 6 of 328
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