LogoLogo
  • 🦩Overview
  • 💾Datasets
    • Overview
    • Core Concepts
      • Columns & Annotations
      • Type & Property Mappings
      • Relationships
    • Basic Datasets
      • dbt Integration
      • Sigma Integration
      • Looker Integration
    • SaaS Datasets
    • CSV Datasets
    • Streaming Datasets
    • Entity Resolution
    • AI Columns
      • AI Prompts Recipe Book
    • Enrichment Columns
      • Quick Start
      • HTTP Request Enrichments
    • Computed Columns
    • Version Control
  • 📫Syncs
    • Overview
    • Triggering & Scheduling
    • Retry Handling
    • Live Syncs
    • Audience Syncs
    • Observability
      • Current Sync Run Overview
      • Sync History
      • Sync Tracking
      • API Inspector
      • Sync Alerts
      • Observability Lake
      • Datadog Integration
      • Warehouse Writeback
      • Sync Lifecycle Webhooks
      • Sync Dry Runs
    • Structuring Data
      • Liquid Templates
      • Event Syncs
      • Arrays and Nested Objects
  • 👥Audience Hub
    • Overview
    • Creating Segments
      • Segment Priorities
      • Warehouse-Managed Audiences
    • Experiments and Analysis
      • Audience Match Rates
    • Activating Segments
    • Calculated Columns
    • Data Preparation
      • Profile Explorer
      • Exclusion Lists
  • 🧮Data Sources
    • Overview
    • Available Sources
      • Amazon Athena
      • Amazon Redshift
      • Amazon S3
      • Azure Synapse
      • ClickHouse
      • Confluent Cloud
      • Databricks
      • Elasticsearch
      • Kafka
      • Google AlloyDB
      • Google BigQuery
      • Google Cloud SQL for PostgreSQL
      • Google Pub/Sub
      • Google Sheets
      • Greenplum
      • HTTP Request
      • HubSpot
      • Materialize
      • Microsoft Fabric
      • MotherDuck
      • MySQL
      • PostgreSQL
      • Rockset
      • Salesforce
      • SingleStore
      • Snowflake
      • SQL Server
      • Trino
  • 🛫Destinations
    • Overview
    • Available Destinations
      • Accredible
      • ActiveCampaign
      • Adobe Target
      • Aha
      • Airship
      • Airtable
      • Algolia
      • Amazon Ads DSP (AMC)
      • Amazon DynamoDB
      • Amazon EventBridge
      • Amazon Pinpoint
      • Amazon Redshift
      • Amazon S3
      • Amplitude
      • Anaplan
      • Antavo
      • Appcues
      • Apollo
      • Asana
      • AskNicely
      • Attentive
      • Attio
      • Autopilot Journeys
      • Azure Blob Storage
      • Box
      • Bloomreach
      • Blackhawk
      • Braze
      • Brevo (formerly Sendinblue)
      • Campaign Monitor
      • Canny
      • Channable
      • Chargebee
      • Chargify
      • ChartMogul
      • ChatGPT Retrieval Plugin
      • Chattermill
      • ChurnZero
      • CJ Affiliate
      • CleverTap
      • ClickUp
      • Constant Contact
      • Courier
      • Criteo
      • Crowd.dev
      • Customer.io
      • Databricks
      • Delighted
      • Discord
      • Drift
      • Drip
      • Eagle Eye
      • Emarsys
      • Enterpret
      • Elasticsearch
      • Facebook Ads
      • Facebook Product Catalog
      • Freshdesk
      • Freshsales
      • Front
      • FullStory
      • Gainsight
      • GitHub
      • GitLab
      • Gladly
      • Google Ads
        • Customer Match Lists (Audiences)
        • Offline Conversions
      • Google AlloyDB
      • Google Analytics 4
      • Google BigQuery
      • Google Campaign Manager 360
      • Google Cloud Storage
      • Google Datastore
      • Google Display & Video 360
      • Google Drive
      • Google Search Ads 360
      • Google Sheets
      • Heap.io
      • Help Scout
      • HTTP Request
      • HubSpot
      • Impact
      • Insider
      • Insightly
      • Intercom
      • Iterable
      • Jira
      • Kafka
      • Kevel
      • Klaviyo
      • Kustomer
      • Labelbox
      • LaunchDarkly
      • LinkedIn
      • LiveIntent
      • Loops
      • Mailchimp
      • Mailchimp Transactional (Mandrill)
      • Mailgun
      • Marketo
      • Meilisearch
      • Microsoft Advertising
      • Microsoft Dynamics
      • Microsoft SQL Server
      • Microsoft Teams
      • Mixpanel
      • MoEngage
      • Mongo DB
      • mParticle
      • MySQL
      • NetSuite
      • Notion
      • OneSignal
      • Optimizely
      • Oracle Database
      • Oracle Eloqua
      • Oracle Fusion
      • Oracle Responsys
      • Orbit
      • Ortto
      • Outreach
      • Pardot
      • Partnerstack
      • Pendo
      • Pinterest
      • Pipedrive
      • Planhat
      • PostgreSQL
      • PostHog
      • Postscript
      • Productboard
      • Qualtrics
      • Radar
      • Reddit Ads
      • Rokt
      • RollWorks
      • Sailthru
      • Salesforce
      • Salesforce Commerce Cloud
      • Salesforce Marketing Cloud
      • Salesloft
      • Segment
      • SendGrid
      • Sense
      • SFTP
      • Shopify
      • Singular
      • Slack
      • Snapchat
      • Snowflake
      • Split
      • Sprig
      • Stripe
      • The Trade Desk
      • TikTok
      • Totango
      • Userflow
      • Userpilot
      • Vero Cloud
      • Vitally
      • Webhooks
      • Webflow
      • X Ads (formerly Twitter Ads)
      • Yahoo Ads (DSP)
      • Zendesk
      • Zoho CRM
      • Zuora
    • Custom & Partner Destinations
  • 📎Misc
    • Credits
    • Census Embedded
    • Data Storage
      • Census Store
        • Query Census Store from Snowflake
      • General Object Storage
      • Bring Your Own Bucket
        • Bring your own S3 Bucket
        • Bring your own GCS Bucket
        • Bring your own Azure Bucket
    • Developers
      • GitLink
      • Dataset API
      • Custom Destination API
      • Management API
    • Security & Privacy
      • Login & SSO Settings
      • Workspaces
      • Role-based Access Controls
      • Network Access Controls
      • SIEM Log Forwarding
      • Secure Storage of Customer Credentials
      • Digital Markets Act (DMA) Consent for Ad Platforms
    • Health and Usage Reporting
      • Workspace Homepage
      • Product Usage Dashboard
      • Observability Toolkit
      • Alerts
    • FAQs
Powered by GitBook
On this page
  • Getting Started
  • Prerequisites
  • 1. Connect to Jira
  • 2. Create your Model
  • 3. Create your Sync
  • ️ Supported Objects and Sync Behaviors

Was this helpful?

  1. Destinations
  2. Available Destinations

Jira

This page describes how to use Census with Jira

PreviousIterableNextKafka

Last updated 2 months ago

Was this helpful?

Getting Started

‌In this guide, we will show you how to connect Jira to Census and create your first sync.

Prerequisites

  • Have your Census account ready. If you need one, now.

  • Have your Jira account ready.

  • Have the proper credentials to access to your data source. See our docs for each supported data source for further information:

1. Connect to Jira

  • Click the New Destination button

  • Select Jira in the list, and click Connect

You will be redirected to a page to log in to Jira to authorize access to your account. Once you sign in, you'll see a page like the image below, confirming you want to authorize Census.

You'll then be prompted to select a Jira account to connect - choose the appropriate account in the dropdown and click Connect.

2. Create your Model

Here you can write a SQL query to select the data you want to see in Jira, or you can use a model from a dbt project or a Looker Look. Your data will require the following at minimum to populate a new Jira task:

  • Id

  • Task Type

  • Summary

Once you have created your model, click Save.

3. Create your Sync

In the "What data do you want to sync?" section.

  • For the Connection, select the data warehouse you've already connected (See Prerequisites).

  • For the Source, select the model you created in step 2.

Next up is the "Where do you want to sync data to?" section.

  • Pick the Jira connection you created in step 1.

  • For Object, select Issue within the correct Jira project in your connection.

For the "How do you want to update the destination?" section, Add is the only option at this time.

For the "How are source records identified?" section, there are two options:

  • Unique ID column: The column that uniquely identifies each record. Census uses this to identify new records that need to be synced.

  • Timestamp: Using a timestamp to detect new data is more efficient for large or frequently changing data sets.

The Unique ID is always required; select the field from your model you want to map to that the identifier.

Finally, select the fields you want to update in the Mapper in the "Which properties should be updated?" section. Here simply map the field from your Jira instance to the column from your model.

Click the Next button to see the final preview, which will have a recap of what will happen when you start the sync.

️ Supported Objects and Sync Behaviors

Jira's primary object is an Issue, which we support in Census.​

Object Name

Supported?

Sync Keys

Behaviors

Issue

✅

Unique ID

Add

Once you are in Census, navigate to

Navigate to the

Now head to the and click the Add Sync button

Learn more about all of our sync behaviors in our documentation.

if you want Census to support more Jira objects and/or behaviors

If run into a dead end, start a conversation with us via the chat.

🛫
create a Free Trial Census account
Amazon Athena
Azure Synapse
Databricks
Elasticsearch
Google AlloyDB
Google BigQuery
Google Sheets
MySQL
Postgres
Redshift
Snowflake
SQL Server
Destinations
Models page in Census
Sync page
Syncs
Contact us
in-app
Choose your connection and source (your model from step 2)
Select which object you want to sync to