Best Jira reporting tools for cross-project dashboards and non-technical stakeholders (2026): 8 options compared

Jira’s built-in dashboards are the right Jira reporting tool when every chart comes from one Jira site and your audience already works in Jira. Teams usually add a second tool for one of three reasons: Custom Charts for Jira or eazyBI for more flexible charts and calculated metrics inside Jira, Screenful for scheduled delivery reports that non-technical stakeholders read in email or Slack, and Atlassian Insights, Power BI, or Basedash when Jira data has to sit next to GitHub, CRM, or finance data. Every price below was checked on the vendor’s official page on October 16, 2026.

What teams need from a Jira reporting tool

The questions people ask when Jira’s reports stop being enough are specific. They want a dashboard that spans several projects, a weekly status report that a VP will actually read, cycle time and throughput without hand-built spreadsheets, Jira data in Power BI or Data Studio, and an alert when a metric spikes.

The tools that answer those questions fall into four groups:

• Jira itself (dashboards, gadgets, agile reports, and the Atlassian Insights app). Included with Jira, built on JQL, and limited to Atlassian data unless you are on a plan that connects outside sources.
• Atlassian Marketplace apps (eazyBI, Custom Charts for Jira, Screenful). Install into Jira, add chart types or calculated measures, and are billed on your Jira site’s user count.
• General BI tools with a Jira connector (Power BI, Grafana). Strong analysis and alerting, but Jira data reaches them through a connector app, a plugin, or a warehouse.
• AI-native BI with managed connectors (Basedash). Syncs Jira into a managed warehouse next to other sources and answers questions in plain English.

How we evaluated Jira reporting tools

We compared each tool on the criteria that come up most in buyer questions about Jira reporting:

1. Cross-project and cross-source reporting. Can one chart cover several Jira projects? Can it join Jira with GitHub, a CRM, or a database?
2. Data freshness. Is the data live from Jira, imported on a schedule, or synced through a warehouse, and how often?
3. Permissions. Does each viewer see only the issues their Jira permissions allow, or does the tool use one set of credentials for everyone?
4. Delivery to non-technical stakeholders. Scheduled email or Slack reports, share links, and TV or embed options.
5. AI features. Plain-English questions, AI-built charts, or AI help writing JQL, SQL, or formulas.
6. Price and security. Starting price, pricing model, and how SAML SSO is licensed.

Jira reporting tools comparison table

Why Jira Marketplace app prices scale with your whole site

Before comparing app prices, it helps to know how Atlassian bills them. Marketplace apps for Jira are priced on the maximum number of Jira users on your site, not on how many people open the app. A 400-person Jira site pays the 400-user price for a reporting app even if only the PMO uses it. Atlassian’s licensing page adds that an app’s license has to match or exceed the tier of the host product.

That changes the math. At 10 users, eazyBI, Custom Charts, and the Power BI Connector for Jira each cost about $10 a month. At 100 users the same apps cost roughly $300 to $330 a month. Tools billed outside the Marketplace, such as Screenful’s direct plans (priced by data source) or BI tools priced per viewer or per workspace, can be cheaper for large Jira sites where only a few people need reports.

Jira dashboards and reports

Best for: teams whose reporting questions start and end in one Jira site and whose readers already live in Jira.

Jira’s dashboards are made of gadgets, and every gadget reads from a project or a saved JQL filter. Because a filter can query any number of projects, a cross-project dashboard is mostly a matter of writing the right JQL. Atlassian lists about 29 standard gadgets, including filter results, pie charts, created vs resolved, two-dimensional filter statistics, sprint burndown, and resolution time. Boards add the agile reports: burnup, burndown, velocity, sprint report, control chart, and cumulative flow diagram.

The limits show up quickly once reports leave the delivery team. Atlassian states that built-in gadgets can’t display data across multiple Jira instances or combine multiple data sources into one chart, and Atlassian’s public issue tracker caps a dashboard at 20 gadgets. There are no calculated fields beyond what a gadget offers, so a metric like “percentage of bugs reopened within 14 days” needs an app or an export.

Fact card: Jira dashboards and reports

• Pricing (as of October 2026): Free for up to 10 users. Standard $8.48 and Premium $15.56 per user per month, the monthly list prices Atlassian shows for a 300-user team; prices are tiered by team size. Enterprise by quote (pricing).
• Free trial: the Free plan, plus trials of paid plans.
• Deployment: Jira Cloud; Data Center for self-managed sites.
• Data sources: Jira only. Dashboards can span projects through JQL filters but not Jira instances.
• Query model: live. Gadgets run their filter when the dashboard loads.
• Permissions: gadgets show each viewer the issues their Jira permissions allow. Dashboard sharing uses viewer and editor lists.
• Delivery and exports: filter subscriptions email results on any schedule, but only the first 200 results. CSV export from the issue navigator supports up to 10,000 work items. Scheduled email of whole dashboards is not documented.
• AI features: Rovo translates simple prompts into JQL and fixes JQL errors. Rovo is included on Standard, Premium, and Enterprise, not on Free.
• Security: SAML SSO and SCIM need an Atlassian Guard Standard subscription ($4.35 per user per month at the page’s 100-user default) on Free, Standard, and Premium; Guard Standard is included on Enterprise.
• Not ideal for: calculated metrics, combining Jira with other data, or stakeholders who won’t log in to Jira.

Atlassian Insights (formerly Atlassian Analytics)

Best for: Atlassian-heavy companies that want SQL-level analysis of Jira, Confluence, and Jira Service Management data without leaving Atlassian.

Atlassian Analytics used to be an Enterprise-only add-on. Atlassian has since renamed it Insights and made it available on Standard, Premium, and Enterprise plans, provisioned automatically for paid customers. The plan still matters: dashboard filters and sharing are on every paid plan, while the full chart builder, Visual SQL, SQL mode, and the Atlassian Data Lake are Enterprise features.

Insights is also the only built-in Atlassian option that reaches outside data. Standard plans can connect BigQuery, Databricks, Google Sheets, SQL Server, MySQL, Oracle, PostgreSQL, Redshift, and Snowflake; Enterprise adds sources such as dbt, Fivetran, Looker, Power BI, and Tableau, for 18 in total.

Fact card: Atlassian Insights

• Pricing (as of October 2026): included with paid Jira plans. SQL mode, the full chart builder, and the Data Lake require Enterprise (plan comparison).
• Free trial: follows the Jira plan trial.
• Deployment: Atlassian Cloud only.
• Data sources: Atlassian apps plus 9 outside sources on Standard and 18 on Enterprise (what is Insights).
• Query model: Atlassian data comes from the Data Lake, where most tables reflect changes in about 90 minutes on average. Core Jira tables such as jira_issue take 5 to 8 hours, and “live” versions of those tables take up to 90 minutes.
• Permissions: Insights uses a permission-enforced data connection by default. The classic Atlassian Data Lake connection does not support row-level permissions, so people can see data they couldn’t see in Jira.
• Delivery: share and embed dashboards on every paid plan; dashboard subscriptions for users with manage access.
• AI features: Rovo answers analytical questions, builds dashboards, and writes and runs SQL. Atlassian estimates about 10 Rovo credits for a quick answer and about 100 for deep research.
• Security: SSO and SCIM licensed through Atlassian Guard, as with Jira.
• Not ideal for: teams below Enterprise that need SQL, or anyone who needs Jira data fresher than the Data Lake’s sync.

eazyBI for Jira

Best for: Jira power users who need calculated metrics, historical trends, and custom fields that gadgets can’t handle.

eazyBI imports Jira data into OLAP cubes and lets you define calculated measures in MDX. That is what makes it popular for time in status, reopened rates, and sprint scope change across many projects. It can also import SQL databases, REST APIs, Google Sheets, Excel, and CSV files, so Jira can be combined with other data inside eazyBI. The tradeoff is a learning curve: MDX is not SQL, and most teams have one or two people who build eazyBI reports for everyone else.

Fact card: eazyBI

• Pricing (as of October 2026): Cloud $10 per month for up to 10 Jira users, then $3 per user per month up to 100 users (about $300 per month at 100 users), with lower rates at higher tiers. Data Center from $1,080 per year for 50 users (pricing). Billed through the Atlassian Marketplace on your site’s user count.
• Free trial: Marketplace trial (30 days for Marketplace apps); Private eazyBI, the self-hosted version, has a 30-day trial.
• Deployment: Jira Cloud, Data Center, and self-hosted Private eazyBI.
• Data sources: Jira standard and custom fields, history, popular Marketplace apps, plus SQL, REST, Google Sheets, Excel, and CSV.
• Query model: imported cubes. On Cloud, scheduled imports run once a day, with hourly processing of important Jira events; Data Center can import as often as every 10 minutes.
• Permissions: eazyBI imports what the authorizing user can see in Jira, and access to eazyBI account data is managed separately from Jira security schemes.
• Delivery: reports publish to Jira dashboards as gadgets and to Confluence with a separate app. Email subscriptions send dashboards as PDFs, and public token links allow embedding.
• AI features: AI assistants answer eazyBI questions, build reports, and write MDX formulas.
• Security: runs inside Jira Cloud, so sign-in follows your Atlassian account.
• Not ideal for: teams that need data fresher than hourly on Cloud, or per-viewer Jira permissions on every report.

Custom Charts for Jira

Best for: teams that want better charts on Jira dashboards without learning a query language.

Custom Charts, now published by Tempo, replaces Jira’s gadgets with more than 10 chart types, JQL or “Simple Search” sources, and templates. Simple Search lets someone pick projects, saved filters, or a JQL query once and feed several charts from it, which is the quickest way to build a multi-project dashboard inside Jira. Custom Charts reads Jira live and respects each viewer’s Jira permissions, so it adds charting without adding a separate data copy.

Fact card: Custom Charts for Jira

• Pricing (as of October 2026): Cloud $10.50 per month for up to 10 Jira users, then $3.18 per user per month up to 100 users (about $318 per month at 100 users). Data Center from $1,310 per year for 50 users. Prices from the Marketplace listing.
• Free trial: 30-day Marketplace trial.
• Deployment: Jira Cloud and Data Center. Custom Charts for Confluence is a separate app.
• Data sources: Jira only.
• Query model: live JQL queries; Tempo states it doesn’t store issue data.
• Permissions: each viewer sees only what their Jira user can see. Public shared dashboards use the owner’s permissions instead.
• Delivery and exports: PNG, PDF, and CSV export. Scheduled email reports are not documented.
• AI features: the Custom Charts Assistant, a Rovo agent that builds charts, requires Rovo to be enabled.
• Security: runs inside Jira, so sign-in follows your Atlassian account.
• Not ideal for: calculated metrics, non-Jira data, or stakeholders outside Jira.

Screenful

Best for: delivery leads who need cycle time, throughput, and forecast reports in front of non-technical stakeholders on a schedule.

Screenful focuses on delivery metrics: cycle time, lead time, throughput, velocity, item age, and mean time to resolution, plus forecasts based on past velocity. It answers the “how do I report on Jira for people who don’t use Jira” question better than most tools here, because reports can be scheduled to email or Slack, shared by link, or shown in a TV mode. It also reads Linear, GitHub, GitLab, Asana, Trello, monday.com, and ClickUp, which helps organizations that don’t run everything in Jira.

Screenful sells two ways. The Marketplace app is priced per Jira user. The direct plans are priced by data source with unlimited users, which is usually cheaper for a big Jira site with a handful of boards.

Fact card: Screenful

• Pricing (as of October 2026): direct plans Starter $39, Pro $79, Scale $149, and Enterprise $399 per month, all with unlimited users; a data source is a Jira board (pricing). Marketplace app free up to 10 Jira users, then $2 per user per month up to 100 users.
• Free trial: 14 days, no credit card.
• Deployment: cloud only; the Marketplace app works with Jira Cloud.
• Data sources: Jira, Linear, GitHub, GitLab, Asana, Trello, monday.com, ClickUp, and Teamwork.
• Query model: all data sources sync once per hour.
• Permissions: Jira permissions only affect which data sources you can create; anyone with access to a Screenful dashboard sees its data.
• Delivery: scheduled email and Slack reports, public or private links, embeds, and TV mode.
• AI features: an AI assistant that creates charts from a prompt and answers questions, and an MCP server.
• Security: SSO is included on Enterprise and sold as a $100 per month add-on on other direct plans; the Marketplace version has no single sign-on option.
• Not ideal for: custom calculated metrics outside its delivery-metric library, or data fresher than hourly.

Microsoft Power BI

Best for: companies already standardized on Microsoft that want Jira in the same reports as finance and operations data.

Power BI has no native Jira connector: the Power Query connector list has no Jira entry, and Microsoft’s own Jira connector is for Power Automate and Power Apps, not Power BI. Teams use one of three routes. Tempo’s Power BI Connector for Jira exposes Jira fields, history, and agile data as an OData feed. Enterprise Atlassian customers can share Data Lake tables through Delta Sharing. Anyone can load Jira into a warehouse with an ingestion tool and point Power BI at the warehouse.

Fact card: Microsoft Power BI

• Pricing (as of October 2026): Pro $14 and Premium Per User $24 per user per month, billed annually (pricing). The Power BI Connector for Jira adds $10 per month for up to 10 Jira users and about $331 per month at 100 users on Cloud.
• Free tier: Power BI free can’t share reports.
• Deployment: cloud service plus Power BI Report Server for on-premises.
• Data sources: hundreds of connectors; Jira through a connector app, a Data Lake share, or a warehouse.
• Query model: scheduled refresh, 8 times a day on Pro and 48 on Premium Per User. Tempo notes that live Jira data in Power BI is not possible through its connector.
• Permissions: Jira permissions don’t carry over. Power BI row-level security has to be built in the model and applies only to users with Viewer permissions.
• AI features: Copilot requires a paid Fabric capacity (F2 or higher) or Premium capacity (P1 or higher); a Pro or PPU license alone isn’t enough.
• Embedding: Power BI Embedded through Azure A SKUs.
• Security: sign-in through Microsoft Entra ID.
• Not ideal for: teams without a Power BI modeler, or anyone who needs Jira data more than 8 times a day on Pro.

Grafana

Best for: engineering and SRE teams that already use Grafana and want Jira issues next to incidents, deploys, and service metrics.

Grafana’s Jira data source queries Jira Cloud, Data Center, or Server with a field picker and a JQL filter, and supports sprint fields and Jira Service Management SLA fields. Its standout feature for Jira reporting is alerting: a rule such as “when the count of open P1 bugs is above 50” can notify the same contact points as infrastructure alerts. The catch is licensing. The Jira data source is an Enterprise plugin, so it is not available on Grafana Cloud Free or open-source Grafana.

Fact card: Grafana

• Pricing (as of October 2026): Grafana Cloud Pro has a $19 per month platform fee. Enterprise plugins, including Jira, are a paid add-on at $55 per active user per month, compared with $8 without them. Grafana Enterprise starts at a $25,000 per year commitment (pricing).
• Free tier: Grafana Cloud Free exists, but Free and Starter plans don’t include Enterprise plugins.
• Deployment: Grafana Cloud, or self-managed with a Grafana Enterprise license.
• Data sources: Jira alongside Grafana’s metrics, logs, and database data sources.
• Query model: queries Jira directly. Results return at most the query’s limit, which defaults to 50 issues, and custom field types from Jira add-ons may not be supported.
• Permissions: whether results follow each viewer’s Jira permissions is not documented.
• AI features: none documented for the Jira data source.
• Security: SAML on Grafana Enterprise and select Grafana Cloud plans.
• Not ideal for: business stakeholders, non-engineering reporting, or small teams who would pay the Enterprise plugin rate for one data source.

Basedash

Best for: teams that want to ask cross-system questions about Jira, GitHub, and business data in plain English without building a pipeline.

Basedash is a general BI tool, not a Jira app, so it doesn’t ship prebuilt sprint reports or appear as a gadget on Jira dashboards. It fits when the question crosses systems, such as “which customer-reported bugs took longest to close, and what is those customers’ plan revenue”. The Jira connector syncs into the Basedash Warehouse next to sources like GitHub, Linear, a CRM, or a product database. The connector uses Fivetran’s Jira schema, which includes issue field history, sprints, and worklogs. The AI data analyst writes the SQL, and charts can be saved to dashboards or delivered to Slack. Our BI for engineering teams page shows the engineering-metrics use cases.

Fact card: Basedash

• Pricing (as of October 2026): Startup $1,000 per month plus AI usage, with up to 25 users and $1,000 of monthly AI credits; Enterprise custom (pricing). Connectors are included, with no separate per-row ETL bill.
• Free trial: 14 days, no credit card.
• Deployment: cloud; self-hosting on Enterprise.
• Data sources: 750+ connectors through data ingestion, including Jira, GitHub, and Linear, plus live connections to PostgreSQL, MySQL, Snowflake, BigQuery, and other databases and warehouses.
• Query model: connectors sync every 15 or 30 minutes, every 1 to 12 hours, or daily, and can sync on demand.
• Permissions: Jira project permissions are not mirrored. Admins choose which groups can query each data source and can hide schemas, tables, or columns from AI. Row-level security applies to PostgreSQL connections only.
• Delivery: automations run on a schedule or when a SQL query detects new or changed data, and send AI-written updates by email or Slack. Insights flag notable changes on their own.
• AI features: chat-based analysis, AI-generated dashboards, a Slack app, and an MCP server on every plan.
• Security: SAML SSO, SCIM, and audit logs on Enterprise.
• Not ideal for: teams that only need Jira charts inside Jira, minute-level freshness, per-viewer Jira permissions, or budgets under a few hundred dollars a month.

Other options worth knowing

Google Data Studio (renamed from Looker Studio in April 2026) has no Google-built Jira connector. A gallery search for Jira returns partner connectors from DOIT-BI, everythingData, Windsor.ai, and Tempo. Tempo’s Jira Cloud Integration costs $10 per month for 10 users and $288 per month for 100, Windsor.ai has a free plan and paid plans from $19 per month billed annually, and Data Studio Pro costs $9 per user per project per month.

Tableau ships a Jira connector that connects over JDBC and requires a driver.

A warehouse plus any BI tool is the most flexible route for large teams. Fivetran’s Jira connector supports Jira Cloud and self-hosted Jira and syncs issue field history, sprints, and worklogs, and the open-source fivetran/jira dbt package models daily issue history and status transitions for BigQuery, Snowflake, Redshift, Databricks, or PostgreSQL.

Which Jira reporting tool should you choose?

If everyone who reads the reports works in Jira: start with Jira dashboards and saved JQL filters. Add Custom Charts for Jira when the gadgets are too limited, since it reads Jira live, respects permissions, and needs no query language.

If you need calculated metrics like time in status or reopen rate: eazyBI is the most capable option inside Jira, at the cost of MDX and a daily import cadence on Cloud. Atlassian Insights with SQL mode is the alternative on Enterprise plans.

If reports go to executives or clients who don’t use Jira: Screenful’s scheduled email and Slack reports, share links, and TV mode are built for that audience. Basedash automations send AI-written summaries to Slack or email when you also need non-Jira data in the same update.

If Jira data needs to sit next to GitHub, CRM, or finance data: Atlassian Insights connects nine outside sources on Standard. Power BI works when a modeler and a connector or warehouse are in place. Basedash syncs Jira and 750+ other sources for you and answers questions in plain English.

If you need alerts when a Jira metric spikes: Grafana Alerting can evaluate Jira queries and notify the same channels as infrastructure alerts. Basedash automations can run when a SQL query over synced Jira data finds new rows. Our AI anomaly detection comparison covers alerting across BI tools in more depth.

If your Jira site is large and only a few people need reports: remember that Marketplace apps are billed on every Jira user on the site. Screenful’s direct plans, Power BI, or a per-workspace BI tool can cost less than a site-wide app license.

Frequently asked questions

What are the best Jira reporting tools?

For most teams the best starting point is Jira’s own dashboards and agile reports, because they are included, live, and permission-aware. Custom Charts for Jira adds better charts without a query language. eazyBI adds calculated metrics and history through MDX. Screenful is strongest for scheduled delivery reports to stakeholders. Atlassian Insights, Power BI, and Basedash fit when Jira data has to be combined with other systems. The right choice depends on who reads the reports and whether they need data from outside Jira.

Can a Jira dashboard show data from multiple projects?

Yes. Jira gadgets read from a saved filter, and a JQL filter can include any number of projects, for example project in (WEB, MOBILE, API) AND type = Bug. Point each gadget at that filter and the dashboard covers all three projects. What Jira dashboards can’t do is combine several Jira sites or blend Jira with other data in one chart. For that you need Atlassian Insights, an app such as eazyBI, or a BI tool that reads Jira through a warehouse or connector.

How do I get Jira data into Power BI?

Power BI has no native Jira connector in Power Query as of October 2026. The three documented routes are a Marketplace app such as Tempo’s Power BI Connector for Jira, which serves Jira data as an OData feed that Power BI refreshes on a schedule; an Atlassian Data Lake data share read through Power BI’s Delta Sharing connector, which requires Atlassian Enterprise; or syncing Jira into a warehouse such as Snowflake, BigQuery, or PostgreSQL with an ingestion tool and connecting Power BI to the warehouse.

How do I connect Jira to Looker Studio (Data Studio)?

Google doesn’t build a Jira connector for Data Studio, the product formerly called Looker Studio. Searching the connector gallery for Jira returns partner connectors from vendors including DOIT-BI, everythingData, Windsor.ai, and Tempo. Most charge a monthly fee, and Tempo’s is priced by Jira user count. Data freshness depends on the partner connector. If you already sync Jira into BigQuery, connecting Data Studio to BigQuery avoids a separate connector and gives you more control over refresh.

How do I report on Jira for non-technical stakeholders?

Send them the report instead of a Jira link. Jira filter subscriptions email issue lists but cap at 200 results, so they rarely work for executives. Screenful schedules delivery reports with cycle time, throughput, and forecasts to email or Slack. eazyBI emails dashboards as PDFs. Atlassian Insights supports dashboard subscriptions. Basedash automations write a plain-English summary of Jira and other data and post it to Slack. Keep the report to a few metrics the audience already cares about, such as delivery dates and blocked work.

Which tools can alert me when a Jira metric spikes?

Grafana’s Jira data source supports Grafana Alerting, so a rule like “open P1 bugs above 50” can notify Slack, email, or an on-call tool, but it requires a plan that includes Enterprise plugins. Basedash automations can run when a SQL query over synced Jira data detects new or changed rows and send an AI-written update to Slack or email. Jira’s built-in dashboards and the Marketplace reporting apps covered here don’t document threshold alerts.

How can I combine Jira data with GitHub data for engineering metrics?

You need both sources in one place. Screenful reads Jira and GitHub side by side for delivery metrics. Grafana can show both on one dashboard if you have a data source for each. For joined metrics, such as lead time from first commit to issue resolution, sync both into a warehouse with an ingestion tool and query them together in a BI tool. Basedash includes managed Jira and GitHub connectors and a warehouse, so both tables can be joined in one query without a separate ETL contract.

Why does a Jira reporting app cost so much more than its listed starting price?

Atlassian bills Marketplace apps on the maximum number of Jira users on your site, not on the number of people who use the app. eazyBI, Custom Charts, and the Power BI Connector for Jira each cost about $10 a month at 10 users but roughly $300 to $330 a month at 100 users on Cloud. If only a few people on a large site need reports, compare that with tools priced by data source or by viewer, such as Screenful’s direct plans or a separate BI tool.

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