Power BI Connector for Jira vs BigQuery Connector for Jira Comparison: Everything You Need to Know Before Choosing

Explore a comprehensive comparison of Power BI Connector for Jira and BigQuery Connector for Jira to understand how they differ in features, pricing, category, and overall performance. Whether you're evaluating software for a small team or a growing enterprise, this guide helps you identify the solution that best aligns with your needs.

Power BI Connector for Jira Vs BigQuery Connector for Jira: Compare Features, Pricing & Overall Value

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Power BI Connector for Jira logo
Power BI Connector for Jira

Power BI Connector for Jira allows you to export your Jira data to Power BI and build necessary dashboards with Jira data.

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BigQuery Connector for Jira logo
BigQuery Connector for Jira

BigQuery Connector for Jira enables you to export all your data from Jira to Google BigQuery.

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General Information
Overview
Power BI Connector for Jira is a no-code solution that makes it simple to connect your Jira Cloud or Data Center data to Microsoft Power BI. In just minutes, you can select standard or custom fields, apply filters, and securely export any data, like issues, sprints, story points, time logs, or service requests for advanced analysis. With automated data refresh, customizable dashboards, and enterprise-grade security, you can keep stakeholders aligned, spot risks early, and measure progress against goals. Whether you manage agile projects, oversee service desks, or track cross-team performance, Power BI Connector for Jira gives you the flexibility to create exactly the reports you need without relying on developers.
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BigQuery Connector for Jira is an Atlassian Marketplace app from Alpha Serve that exports data from Jira into Google BigQuery for analysis and reporting. Jira holds a rich record of project, service and development work, but its native reporting is limited when organisations want to combine issue data with other business information, analyse long histories or build advanced dashboards. Exporting data manually through CSV files is time-consuming and quickly becomes out of date. The connector solves this by creating a configurable, automated pipeline from Jira to BigQuery, where the data can be queried with SQL and connected to tools such as Looker Studio, Looker and other business intelligence platforms. Its core approach is to give Jira administrators a no-code way to define exactly which data is shared, while keeping the warehouse refreshed on a schedule without scripting against the Jira API. This allows Jira information to be analysed alongside finance, sales and operational data held in the same warehouse. Users can create multiple data sources, selecting projects, filters, fields, issue history, worklogs, sprints, comments and custom fields, including data from popular apps such as Tempo where supported. Scheduled refreshes keep BigQuery tables current, and incremental updates reduce load on both systems. Permission controls ensure that only authorised users can configure exports, and data is transferred securely using Google Cloud authentication. The connector is available for Jira Cloud and for Jira Data Center, making it suitable for both cloud-first teams and organisations running self-managed Atlassian infrastructure. Typical users are project management offices, engineering and IT service management leaders, and data teams in medium and large organisations that standardise on Google Cloud for analytics and want to measure delivery performance, resource usage and service levels. Pricing starts from around USD 10 with a free trial, following Atlassian Marketplace user-tier pricing; there is no permanently free version.
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Pricing
Price
$14.85/Per Month
$10/Per Month
Free Trial
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Available
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Features
Access Controls/Permissions
Data Connectors
Data Security
Data Visualization
Visual Analytics
Ad hoc Reporting
Dashboard
Multiple Data Sources
Data Import/Export
KPI Monitoring
Reporting/Analytics
Self Service Data Preparation
Data Mapping
Third-Party Integrations
Big Data Analytics
Data Analysis Tools
Data Connectors
Data Connectors
ETL - Extract Transfer Load
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Frequently Asked Questions Power BI Connector for Jira vs BigQuery Connector for Jira

Power BI Connector for Jira and BigQuery Connector for Jira differ in their features, pricing, user experience, integrations, deployment options, and overall capabilities. The right choice depends on your business goals, team size, budget, and specific requirements. Compare both solutions side by side to understand which platform better fits your needs.

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Power BI Connector for Jira vs BigQuery Connector for Jira Comparison | Features, Pricing & Reviews | Krowdbase