Analyze your Jira data with Looker
Stitch is a no-maintenance pipeline for consolidating all your data (including Jira) to modern analytics warehouses and storage platforms, powering rapid reporting in Looker.
Integrate Jira and Looker with your data warehouse to turn your data into actionable insights.
Jira provides issue and project tracking software.
Stitch offers detailed documentation on how to replicate all your Jiradata to your central warehouse today.
Looker is a data platform that makes it easy to find, explore, and understand your data. Looker’s powerful modeling layer allows you to describe and transform raw data, creating a reliable source of truth for your business.Learn more about Looker
From Jira toGoogle Analytics,the tools that power your operations create incredibly valuable data—but it's locked up in silos. With Stitch as your data pipeline, you can break down those barriers in minutes.
Don't waste time extracting data from Jira and sending it to Looker manually Stitch easily connects to your data wherever it lives and automatically copies it to a central data warehouse: a single source of truth that holds insights from every corner of your organization.
From there, it’s easy to connect your warehouse to Looker.
Years ago, building a data infrastructure meant maintaining custom ETL scripts and loading data to expensive, on premises storage. Skip that. Stitch helps today’s most successful organizations leverage the power of the cloud to optimize their analytics.
See why 82% of businesses are prioritizing new technologies for analytics and business intelligence.
Stitch delivers your data to storage platforms purpose-built for fast data analysis.
Here’s a sample of the raw Jira data that Stitch will replicate to your analytics warehouse:
The jira_issues table contains information about the issues in your JIRA account. Attributes include the issue ID (id), URL, key, fields, and attachment details.
The jira_projects table contains information about individual projects in your JIRA account. Attributes include the project ID (id), description, key, name, lead info, assignee info, avatar URLs, project category info, version info, and user info.
The jira_project_categories table contains information about the categories assigned to the projects in your JIRA account. Attributes include the category ID (id), name, and description.
The jira_users table contains information about the users in your JIRA account. Attributes include the user’s name, key, email address, avatar info, display name, status, and timezone.
Stitch saves us a ton of time. Having a standard process to put the data in the warehouse and then feeding that data to a dashboard gives us more time to dig and uncover the story the data is telling us.
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for MySQL
Amazon RDS for Oracle Database
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon S3 CSV
Google Analytics 360
Google Cloud SQL MySQL
Google Cloud SQL MySQL
Google Cloud SQL PostgreSQL
Google Search Console
Microsoft Advertising (Bing Ads)
Microsoft Azure SQL Server Database
Microsoft SQL Server
Netsuite Suite Analytics
Oracle Netsuite Bronto Marketing Platform
Salesforce Marketing Cloud