Best Open-Source Power BI Alternatives (2026)
8 self-hostable, open-source projects that replace Power BI — without per-user pricing and Microsoft lock-in. Each is scored for how hard it is to self-host, with one-click deploy options where they exist.
Power BI's per-user (and Premium capacity) pricing scales painfully as you add viewers, and the product pulls you deeper into the Microsoft and Azure ecosystem for identity, gateways, and storage. Teams switch to escape that lock-in and to host their own data and dashboards without per-seat licensing.
Our picks at a glance
Difficulty 2/5 with One-Click and Docker deploys, the simplest setup among the BI tools for non-technical viewers.
Most feature-complete OSS BI app at 73k stars with broad connectors and granular dashboard and permission controls.
Highest star count of the list at 74k, with strong ongoing development and a managed cloud option.
Mature official managed hosting (Grafana Cloud) backs the self-hosted AGPL-3.0 project.
Compare all 8 alternatives
Tap a column header to sort| Project | Deploy | Managed | License | ||||
|---|---|---|---|---|---|---|---|
 Grafana TypeScript | 74k ★ | 2/5 Easy | One-Click Docker +3 | AGPL-3.0 | 6 days ago | Repo | |
 Apache Superset TypeScript | 73k ★ | 3/5 Moderate | Docker Docker Compose +2 | Apache-2.0 | 7 days ago | Repo | |
 Metabase Clojure | 47k ★ | 2/5 Easy | One-Click Docker +3 | AGPL-3.0 | 7 days ago | Repo | |
 Redash Python | 28k ★ | 3/5 Moderate | Docker Docker Compose +2 | BSD-2-Clause | 3 months ago | Repo | |
 Evidence JavaScript | 6.4k ★ | 2/5 Easy | Docker Manual +1 | MIT | 4 months ago | Repo | |
 Lightdash TypeScript | 5.9k ★ | 3/5 Moderate | Docker Docker Compose +2 | Apache-2.0 | 5 days ago | Repo | |
 Rill Go | 2.7k ★ | 3/5 Moderate | Docker Manual +1 | Apache-2.0 | 5 days ago | Repo | |
 DataLens TypeScript | 1.7k ★ | 3/5 Moderate | Docker Compose Kubernetes +1 | Apache-2.0 | 3 months ago | Repo |
What to look for: Confirm connectors for your warehouse and that the tool handles scheduled refresh, row-level security, and sharing for non-technical viewers without a per-seat tax. If you have time-series or operational data rather than classic tabular reports, a metrics-oriented tool may fit better than a general BI app.
The alternatives, reviewed
- #1
GrafanaSelf-host: EasyObservability and analytics dashboards for metrics, logs, and time series
74k TypeScript AGPL-3.0 6 days agoHow it compares to Power BI
- Oriented toward time-series and observability, not ad-hoc business analytics or pivot-style exploration
- No business-friendly visual query builder; dashboards assume knowledge of data sources and query languages
- Weak at relational/tabular BI reporting compared to Tableau or Power BI
- No semantic modeling layer; data modeling lives in the underlying sources
- #2
Apache SupersetSelf-host: ModerateEnterprise-ready BI web app for data exploration and dashboards
73k TypeScript Apache-2.0 7 days agoHow it compares to Power BI
- No native desktop authoring app like Tableau Desktop; all work happens in the browser
- Visualization customization is less polished and flexible than Tableau's drag-and-drop canvas
- No built-in semantic/modeling layer comparable to Looker's LookML (relies on external tools)
- Steeper learning curve and heavier infrastructure (Celery, Redis, metadata DB) for production
- #3
MetabaseSelf-host: EasyEasy-to-use open-source BI and embedded analytics for everyone
47k Clojure AGPL-3.0 7 days agoHow it compares to Power BI
- Advanced data modeling, row-level security, and SSO are gated behind the paid Pro/Enterprise editions
- Charting and visualization depth is more limited than Tableau or Power BI
- No deep semantic modeling layer like Looker's LookML
- Performance can degrade on very large datasets without careful tuning or caching
- #4
RedashSelf-host: ModerateConnect, query, visualize, and share data from any SQL or NoSQL source
28k Python BSD-2-Clause 3 months agoHow it compares to Power BI
- SQL-centric: limited value for non-technical users versus Tableau/Power BI drag-and-drop
- Visualization variety and interactivity are basic compared to leading commercial BI
- No semantic modeling layer and limited governance/RBAC features
- Development pace slowed for a period after the Databricks acquisition; community-driven releases
- #5
EvidenceSelf-host: EasyCode-based BI: build data reports and dashboards with SQL and Markdown
6.4k JavaScript MIT 4 months agoHow it compares to Power BI
- Code-first workflow excludes non-technical, point-and-click business users
- Not designed for interactive ad-hoc exploration; reports are authored, not browsed freely
- No drag-and-drop visual builder or pivot-table exploration like Tableau/Power BI
- Limited governance, permissions, and live-querying features compared to enterprise BI
- #6
LightdashSelf-host: ModerateBI layer on top of your dbt project with a built-in semantic layer
5.9k TypeScript Apache-2.0 5 days agoHow it compares to Power BI
- Requires a dbt project; not usable as a standalone BI tool without dbt modeling
- Smaller chart/visualization library than Tableau or Power BI
- Some governance, embedding, and enterprise features are reserved for the paid cloud tiers
- Younger ecosystem with fewer connectors and a smaller community than the incumbents
- #7
RillSelf-host: ModerateFast operational BI with embedded OLAP for interactive dashboards
2.7k Go Apache-2.0 5 days agoHow it compares to Power BI
- Narrower visualization set than Tableau/Power BI, focused on time-series and metrics dashboards
- Dashboards are defined in code/YAML, less approachable for non-technical authors
- Smaller connector ecosystem; centered on OLAP engines like DuckDB and ClickHouse
- Younger project with a smaller community and fewer enterprise governance features
- #8
DataLensSelf-host: ModerateYandex's open-source BI and data visualization system
1.7k TypeScript Apache-2.0 3 months agoHow it compares to Power BI
- Ships with a limited set of connectors (ClickHouse, PostgreSQL) compared to commercial BI
- Documentation and community are smaller and partly Russian-language oriented
- Multi-service architecture makes self-hosting more involved than lightweight alternatives
- Fewer advanced governance, modeling, and enterprise integrations than Tableau/Power BI
The verdict
If you're replacing Power BI's tabular reporting for business users, Metabase is the easiest landing and Superset the most powerful; choose Grafana when your dashboards are really about metrics, logs, and time series rather than spreadsheet-style reports.
Power BI alternatives — frequently asked questions
Is there a free alternative to Power BI I can self-host?
Yes. Grafana, Apache Superset, Metabase, Redash, Evidence, Lightdash, Rill, and DataLens are all open-source and free to run on your own infrastructure.
Which Power BI alternative is easiest for non-technical users?
Metabase (difficulty 2/5) is built for self-service, with a point-and-click question builder and One-Click deployment, making it the friendliest for business viewers.
Do any of these avoid per-user pricing?
Self-hosting any of them removes per-seat licensing entirely. If you want managed hosting without per-seat costs, Grafana, Metabase, Lightdash, Rill, and DataLens all offer hosted plans.
What's the best Power BI alternative for time-series and metrics dashboards?
Grafana, which specializes in metrics, logs, and time-series visualization and is the most popular tool here at 74k stars.
Can these connect to the same databases as Power BI?
Yes. Superset, Metabase, and Redash connect to SQL warehouses and many NoSQL sources; Redash specifically supports any SQL or NoSQL source, and Grafana covers metrics and SQL backends.
Which has the most enterprise-grade governance?
Apache Superset is positioned as enterprise-ready with role-based access and fine-grained dashboard permissions, making it the strongest governance story among the free options.