Chartio shut down: what happened and the best alternatives in 2026
Max Musing
Max MusingFounder and CEO of Basedash
· July 22, 2026

Max Musing
Max MusingFounder and CEO of Basedash
· July 22, 2026

Chartio shut down on March 1, 2022. If you find it in an old BI comparison, a job description, or documentation for an internal dashboard, it is no longer a tool you can sign up for or rely on. Atlassian acquired Chartio in 2021 and retired the standalone service rather than continuing it as an Atlassian product.
That left a gap for teams who liked Chartio because it made live database exploration and shareable dashboards feel less intimidating than traditional BI. This guide covers what happened, what made Chartio useful, and the alternatives worth considering now.
Chartio was a cloud business intelligence platform built around direct database connections, visual SQL, and dashboards. An analyst could write SQL, while someone less technical could use its Visual SQL builder to combine tables, filter results, and turn a query into a chart.
Its appeal was the workflow as a whole:
That blend made Chartio a fixture of the early cloud-BI market, which is also why its shutdown still comes up in searches years later.
In February 2021, Atlassian acquired Chartio for its team and analytics technology. Chartio then announced that the standalone service would close on March 1, 2022. Its shutdown notice thanked customers, linked to migration guidance, and explained that the team would focus on Atlassian’s audience and platform.
The closure was an acquisition-driven product retirement rather than a bankruptcy or sudden outage, but customers still had to export their work and pick a new reporting home.
The right replacement depends on what you used Chartio for. Start with these questions:
Basedash fits teams that liked Chartio’s direct route from database to answer but want a faster authoring workflow. Instead of starting every exploration with a visual query builder or SQL editor, you can describe the question in plain English, inspect the generated SQL, and turn the result into a chart or dashboard.
What it offers former Chartio users:
Best for: teams that want Chartio’s database-first accessibility with AI-assisted analysis, transparent SQL, and a modern dashboard workflow.
Metabase is the most natural option for teams that primarily valued Chartio’s visual query builder. Its notebook-style editor lets users choose tables, summarize data, apply filters, and build charts without writing SQL, while analysts can switch to native queries when needed.
The open-source edition can be self-hosted, and Metabase Cloud provides a managed option. Its AI capabilities are less central than Basedash’s, so teams that specifically want conversational analysis may find it more of a familiar replacement than a step forward.
Best for: teams that want a visual query builder, optional self-hosting, and a gentle learning curve.
Apache Superset is a full-featured open-source platform for teams with engineering support. It offers SQL Lab, extensive database connectivity, granular permissions, and a large chart library. It can handle ambitious dashboard deployments, but it requires more setup and operational ownership than Chartio did.
Best for: organizations with platform resources that need a highly configurable, self-hosted analytics platform.
Looker is a strong option when the main lesson from Chartio is that metric consistency matters. Its LookML semantic layer gives data teams a structured way to define joins and metrics before business users explore them.
Implementation is a significant project, so Looker is not a lightweight replacement for a team that wants to connect a database and start building this afternoon.
Best for: data-mature organizations that can invest in centralized modeling and governance.
Power BI is practical for teams already using Microsoft 365, Azure, and Excel. It delivers mature reporting, broad connectivity, and familiar sharing workflows. DAX and data-model management add complexity, but the surrounding ecosystem can make that worthwhile.
Best for: Microsoft-centric organizations that need a broadly deployed reporting standard.
| Tool | Primary workflow | SQL visibility | Governance | Best for |
|---|---|---|---|---|
| Basedash | Ask in plain English, inspect SQL, build dashboards | Full generated and editable SQL | Business terms, relationships, permissions | AI-native analysis on live data |
| Metabase | Visual builder with optional SQL | Native SQL editor | Models and permissions | Accessible self-service BI |
| Apache Superset | SQL exploration and dashboard authoring | SQL Lab | Roles and row-level rules | Self-hosted technical teams |
| Looker | Modeled exploration and reporting | LookML + generated SQL | Semantic layer | Centralized metric governance |
| Power BI | Drag-and-drop reports and models | DAX and query tools | Model-dependent | Microsoft ecosystems |
Begin by listing the dashboards people still open, the source connections they use, the scheduled deliveries they power, and the metric definitions hidden in their queries. Prioritize reports that drive a recurring decision or feed another workflow.
Then migrate in layers:
Use the migration to remove duplicate metrics and orphaned dashboards instead of copying every artifact forward.
Chartio closed because Atlassian acquired it, and the workflow it popularized still holds up: connect data, investigate quickly, and share an answer. In 2026, teams can choose tools with stronger governance, more capable delivery workflows, and AI assistance that lowers the barrier to a first query.
If you want to keep Chartio’s directness and move to an AI-native workflow, Basedash combines natural-language analysis, transparent SQL, dashboards, and alerts in one platform.
No. Chartio shut down its standalone service on March 1, 2022, after Atlassian acquired the company in 2021. The acquisition did not result in a customer-facing Chartio product inside Atlassian, so old Chartio links, dashboards, and documentation should be treated as historical references rather than an available service.
Atlassian acquired Chartio for its team and analytics technology, then directed that team toward Atlassian’s own platform. Chartio announced the planned retirement and provided migration guidance before the March 2022 closure. The company did not continue Chartio as a standalone product or relaunch it under an Atlassian brand.
Chartio combined direct database access, a visual SQL builder, native SQL editing, and shareable dashboards in a comparatively approachable cloud product. That made it useful for teams where analysts needed flexibility but business users also needed a practical way to explore data and consume recurring reports.
It depends on the workflow you need. Metabase is a strong fit for visual-query-first teams, while Apache Superset suits self-hosted technical deployments. For teams that want to start with a natural-language question, verify the generated SQL, and immediately build a governed dashboard, Basedash is a more modern replacement.
Only if your organization retained exports of its Chartio queries, dashboard definitions, or underlying SQL before the service closed. Chartio itself is no longer available. If you have exports, use them as a migration inventory, reconnect the original data sources in your new BI tool, and validate each rebuilt report against a trusted historical result.
Written by

Founder and CEO of Basedash
Max Musing is the founder and CEO of Basedash, an AI-native business intelligence platform designed to help teams explore analytics and build dashboards without writing SQL. His work focuses on applying large language models to structured data systems, improving query reliability, and building governed analytics workflows for production environments.
Basedash lets you build charts, dashboards, and reports in seconds using all your data.