Appfire Dashboard Hub
Analytics platforms
Data visualization tools
Business intelligence software
AI for data analytics tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Appfire Dashboard Hub
Appfire Dashboard Hub is a dashboarding and reporting app for Atlassian Jira that helps teams build and share visual views of Jira data. It targets Jira administrators, project managers, and delivery teams that need operational reporting (for example, sprint progress, workload, and issue status) without exporting data to a separate BI stack. The product focuses on configurable Jira-native dashboards, gadgets, and filters to support day-to-day tracking and stakeholder reporting. It is typically deployed in Jira environments where reporting needs are centered on Jira issues and projects.
Jira-native reporting workflows
The product is designed to work directly with Jira projects, issues, and filters, which reduces the need to replicate Jira data into a separate analytics warehouse for common operational reporting. Teams can build dashboards around existing Jira configurations and permissions. This fit is practical for organizations whose primary reporting questions are about delivery execution and ticket flow. It aligns well with Jira-centric governance and access control.
Operational dashboards for teams
Dashboard Hub supports recurring team use cases such as tracking status, throughput, and workload using visual components intended for day-to-day monitoring. This makes it suitable for sharing consistent views across squads and stakeholders. Compared with broader BI platforms, it emphasizes quick creation of Jira-focused dashboards rather than multi-source enterprise modeling. It can reduce time spent assembling manual status reports.
Fits Atlassian app ecosystem
As part of an Atlassian Marketplace vendor portfolio, it is positioned to integrate into existing Jira administration and app management processes. Organizations already standardizing on Atlassian apps can procure, deploy, and govern it through familiar mechanisms. This can simplify adoption relative to introducing a separate analytics platform with its own infrastructure and user management. It is most effective when Jira is the primary system of record for the metrics being visualized.
Primarily Jira data scope
The product’s reporting value is strongest when the underlying data lives in Jira; it is not designed as a general-purpose analytics layer across many business systems. Organizations needing unified analytics across product, marketing, finance, and support data may still require a separate BI platform and data modeling approach. Cross-database joins, semantic layers, and enterprise-wide metric governance are typically outside the scope of Jira dashboard apps. This can limit suitability for company-wide BI programs.
Less suited for deep analytics
Jira dashboarding tools generally focus on visualization and operational reporting rather than advanced analytics workflows such as complex statistical analysis, notebook-based exploration, or large-scale data transformation. Teams that need extensive data preparation, versioned metric definitions, or sophisticated drill paths may find the feature set narrower than dedicated BI suites. Performance and flexibility can also depend on Jira instance size and query patterns. This may constrain use in high-volume analytical scenarios.
AI analytics capabilities unclear
While the broader market includes products with embedded natural-language querying and automated insights, publicly available positioning for Dashboard Hub is primarily centered on dashboards and reporting. If AI-assisted analysis is required (for example, NLQ, anomaly detection, or automated narrative insights), buyers should validate what is included versus what requires other tools. The product may not meet requirements for AI-driven analytics without complementary platforms. This can be a gap for organizations prioritizing AI-first BI experiences.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Cloud (Dashboard Hub) | Free for up to 10 users; then progressive per-user monthly rates: 11–100 users: USD 1.44 per user/month; 101–250 users: USD 0.90 per user/month; 251–1,000 users: USD 0.42 per user/month; 1,001–2,500 users: USD 0.15 per user/month; 2,501–5,000 users: USD 0.15 per user/month; 5,001–7,500 users: USD 0.15 per user/month; 7,501–10,000 users: USD 0.13 per user/month; 10,001–15,000 users: USD 0.05 per user/month; 15,001–20,000 users: USD 0.05 per user/month; 20,001–25,000 users: USD 0.03 per user/month; 25,001–30,000 users: USD 0.03 per user/month; 30,001–35,000 users: USD 0.03 per user/month; 40,001–45,000 users: USD 0.03 per user/month; 45,001–50,000 users: USD 0.03 per user/month. | Progressive (volume) monthly pricing tied to Atlassian user tiers; Appfire notes you can pay monthly (minimum term one month) or pay annually (pay for 10 months, get 12 months). |
| Data Center (Dashboard Hub) | Listed per-tier prices (as published by Appfire): Up to 50 users: USD 600; Up to 100 users: USD 1,250; Up to 250 users: USD 2,100; Up to 500 users: USD 2,450; Up to 750 users: USD 2,750; Up to 1,000 users: USD 3,050; Up to 2,000 users: USD 3,600; Up to 3,000 users: USD 4,150; Up to 4,000 users: USD 4,700; Up to 5,000 users: USD 5,250; Up to 6,000 users: USD 5,800; Up to 7,000 users: USD 6,400; Up to 8,000 users: USD 7,000; Up to 9,000 users: USD 7,500; Up to 10,000 users: USD 8,550; Up to 11,000 users: USD 8,800; Up to 12,000 users: USD 9,050; Up to 13,000 users: USD 9,400; Up to 14,000 users: USD 9,650; Up to 15,000 users: USD 10,100; Up to 20,000 users: USD 10,400; Up to 25,000 users: USD 10,750; Up to 30,000 users: USD 11,150; Up to 35,000 users: USD 11,400; Up to 40,000 users: USD 11,750; Up to 45,000 users: USD 12,000; Up to 50,000 users: USD 12,250; 50,001+ users: USD 13,150. | Appfire lists a 30-day free trial for Data Center; these are the published Appfire Data Center tier prices (see official product docs/FAQ). |
Seller details
Appfire Technologies, LLC
Boston, MA, USA
2005
Private
https://appfire.com/
https://x.com/Appfire
https://www.linkedin.com/company/appfire/
