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Data warehouse ⇄ Business productivity

Apache Pinot to Atlassian integration — real-time, two-way sync

Keep Apache Pinot and Atlassian in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Pinot and Atlassian

Get the data locked inside Atlassian into Apache Pinot as live tables, and send results back where Atlassian can use them, without writing a pipeline.

Whatever Atlassian is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages from Atlassian into tables in Apache Pinot continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Pinot can also be written back into fields in Atlassian where the tool can use them.

Common use cases

  • Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
  • Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
  • Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.
  • Keep upsert-enabled real-time tables aligned with mutable operational records streamed from source systems.

Analytics on Atlassian's data

Records and events from Atlassian land in Apache Pinot as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Atlassian's data with data from every other synced system to answer questions no single tool can.

Where Atlassian accepts updates: operational write-back

Segments, scores, or reference values computed in Apache Pinot sync back onto records in Atlassian, putting analysis where the work happens.

What you can sync between Apache Pinot and Atlassian

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.

Apache Pinot objects Atlassian objects
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Jira Projects Containers that scope issues, workflows, and permissions for a sync.
Tenants Logical groupings that isolate workloads on shared clusters. Boards and Sprints Agile structures read to report on sprint contents and status.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Issue Comments Threaded discussion synced into linked tickets in external systems.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Attachments Files on issues mirrored to paired records where needed.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Workflows and Statuses Status transitions mapped to stages in the paired system.
What ships with Apache Pinot ⇄ Atlassian

Connect Apache Pinot and Atlassian for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Atlassian connection.

Real-time

Two-way sync

Changes in Apache Pinot or Atlassian instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Atlassian 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 Apache Pinot or Atlassian record.

Observability

Monitoring

Track your Apache Pinot ⇄ Atlassian sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Pinot and Atlassian.

How the Apache Pinot and Atlassian connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

Atlassian

Integration surface
REST APIs per product (Jira Cloud and Confluence Cloud)
Authentication
OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
Change detection
Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
Capabilities
read · write · webhooks
How it works

How to connect Apache Pinot to Atlassian — 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 Apache Pinot and Atlassian 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
    Apache Pinot connected
    Atlassian connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot and Atlassian 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 · Apache Pinot ⇄ Atlassian
    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
    Apache Pinot Atlassian
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Pinot and Atlassian integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Apache Pinot and Atlassian.

Popular · 8 of 386
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