Best Open Source BI Tools in 2026
Open source or source-available products you can run yourself, ranked for dashboards, SQL, and metrics you own.
Metabase is the friendliest self-hosted dashboard for people who do not want to live in SQL. Apache Superset is the Apache-governed engine for larger chart and SQL Lab work. Grafana is the default for metrics, logs, and time series. Lightdash sits on a dbt project. Redash is the lighter SQL share layer, with a slower release cadence after Databricks. Evidence turns SQL and markdown into a data app. Cube is the semantic and caching layer in front of the warehouse. PostHog is product analytics with a self-host path, not classic BI.
Paid BI seats often start in the tens of dollars per viewer before you have shared a single dashboard. A self-run stack changes the bill from licenses to servers and the people who keep them up. Toolradar data: Toolradar lists 10,429 published tools as of September 1, 2026, including 199 published business-intelligence tools, 31% of them free or freemium (7 free-only, 54 freemium, 138 paid).
This guide ranks 8 products that are open source or source-available enough that you can run them yourself. That phrase is deliberate. Not every pick is OSI-approved in the same way, and PostHog is product analytics (events, flags, replay) with a self-host path, not a warehouse-first BI suite. We used the apache-superset catalog slug, not a retired or duplicate "superset" listing.
If you need a hosted Google sheet dashboard with no server, this is the wrong list. If you need charts on Postgres, BigQuery, or a metrics API you control, start with Metabase or Apache Superset, add Grafana when the data is operational time series, and add Cube or Lightdash when the argument is about metric definitions rather than chart types.
Top Picks
Based on features, user feedback, and value for money.
| Tool | Starting price | Rating | Best for |
|---|---|---|---|
| Metabase | From $575/mo | 4.4(209) | Teams that want self-serve dashboards without buying a per-viewer BI seat |
| Apache Superset | Free | 4.4(55) | Data teams that want SQL Lab, many chart types, and an Apache-governed codebase |
| Grafana | From $19/mo | 4.5(243) | Engineering and ops teams visualizing Prometheus, Loki, CloudWatch, or mixed time-serie... |
| Lightdash | From $10/mo | 5.0(16) | Analytics teams that already live in dbt and want dashboards on those metrics |
| Redash | Free plan | 4.4(54) | Small data teams that want a light SQL share layer rather than a full Superset install |
| Evidence | From $15/mo | 4.7(36) | Analysts who want narrative reports next to queries, not a drag-and-drop canvas |
| Cube | From $40/mo | 4.5(128) | Teams that already have a warehouse and need a semantic API, not another chart UI |
| PostHog | From $750/mo | 4.5(1,054) | Product and engineering teams that want events, flags, and replay they can run themselves |
Teams that want self-serve dashboards without buying a per-viewer BI seat
Metabase's pricing is generally fair, offering a generous Open Source tier for self-hosting.
Watch out
Metabot AI add-on is extra ($100-$500/mo)
Data teams that want SQL Lab, many chart types, and an Apache-governed codebase
Apache Superset's pricing is exceptionally generous, being entirely free.
Engineering and ops teams visualizing Prometheus, Loki, CloudWatch, or mixed time-series sources
Grafana OSS is completely free for self-hosted visualization.
Watch out
Metrics overage at $6.50 per 1,000 active series adds up with high-cardinality data
Analytics teams that already live in dbt and want dashboards on those metrics
Lightdash's pricing is very fair and generous, especially with a robust free self-hosted option.
Small data teams that want a light SQL share layer rather than a full Superset install
Redash's pricing is exceptionally generous as it is entirely free and open-source.
Analysts who want narrative reports next to queries, not a drag-and-drop canvas
Evidence's pricing is quite generous, especially with its robust free Hobby tier.
Teams that already have a warehouse and need a semantic API, not another chart UI
Cube's pricing structure is fair, offering a generous Free tier for hobbyists to explore its semantic layer and agentic analytics.
Watch out
Premium LLM usage in Starter tier might incur external costs.
Product and engineering teams that want events, flags, and replay they can run themselves
PostHog's pricing is quite generous, especially with its robust free tier offering 1M events and unlimited seats.
Watch out
Overage fees for events beyond free tier
What Self-Run BI Actually Is
A business intelligence tool connects a warehouse or database to charts, SQL, and shared dashboards. Open source or source-available BI means you can install the product on your own infrastructure, read the code (or a large share of it), and avoid a per-viewer license for the core path.
Metabase is a question-and-dashboard app with a point-and-click builder plus SQL. Apache Superset is a fuller visualization and SQL Lab platform under the Apache Software Foundation. Grafana is a dashboarding layer aimed at metrics and logs first, SQL second. Lightdash reads a dbt project so the semantic layer is the dbt repo. Redash is a shared SQL editor and visualization layer; hosted Redash Cloud is gone, so self-host is the path. Evidence compiles SQL and markdown into a versioned site. Cube sits in front of the warehouse as a metrics and caching API. PostHog captures product events and can be self-hosted; it is not a replacement for a warehouse BI tool.
Why License-Free Does Not Mean Cost-Free
A $0 license still costs a Postgres box, backups, SSO wiring, and someone who will upgrade after a CVE. Metabase Community and Apache Superset remove the per-viewer tax that makes Looker-style stacks painful for a 30-person company. They do not remove ops.
The other trap is calling every dashboard "BI." Grafana is outstanding on Prometheus and Loki and weaker as a business user's first SQL tool. PostHog answers "what did users do in the product" and will not replace a finance dashboard on Snowflake. Cube without a visualization layer is an API. Evidence without an analyst who writes markdown is an empty repo.
Pick the job: self-serve charts (Metabase), heavy SQL and chart types (Apache Superset), ops dashboards (Grafana), dbt metrics (Lightdash), shared SQL (Redash), narrative analytics (Evidence), metrics API (Cube), product analytics (PostHog).
Key Features to Look For
A self-host or self-run path is required on this list. Hosted cloud tiers are optional extras, not the definition.
Metabase, Apache Superset, Grafana, Lightdash, Redash, Evidence, and Cube are run-yourself BI or metrics tools. PostHog is source-available product analytics. Not every pick is the same OSI license.
Postgres, MySQL, BigQuery, Snowflake, and similar. Grafana adds Prometheus and Loki. PostHog adds its own event store.
Metabase's query builder is the low-SQL path. Superset and Redash assume more SQL comfort.
Lightdash and Cube exist so 'revenue' means one thing. Metabase and Redash will let five people define it five ways.
Redash slowed after Databricks. Confirm you are fine with a quieter project before you bet the company dashboard on it.
Mistakes to Avoid
- ×
Calling PostHog a BI suite. It is product analytics with a self-host path. Warehouse dashboards still belong in Metabase, Apache Superset, or Lightdash.
- ×
Installing Apache Superset for a five-person team that only needed Metabase's query builder.
- ×
Ignoring Redash's slower cadence after Databricks and treating it as a fast-moving OSS bet.
- ×
Buying Cube and expecting charts. Cube is the metrics API; you still need a visualization layer.
- ×
Assuming 'open source' means every pick is the same OSI license. This list is open source or source-available you can run yourself.
Expert Tips
- →
If non-SQL people must build charts, start with Metabase Community. Add Apache Superset when SQL Lab and chart types outgrow it.
- →
If the warehouse already has dbt, try Lightdash before you invent a second semantic layer.
- →
If the dashboard is CPU, errors, and latency, use Grafana, not a BI tool that treats Prometheus as an afterthought.
- →
Put Cube in front when three tools disagree on 'revenue.' Do not add it on day one for a single Metabase instance.
- →
Use PostHog for product events. Keep finance and ops in Metabase, Superset, or Grafana.
The Bottom Line
Metabase and Apache Superset are the core self-run BI pair. Grafana owns ops time series. Lightdash owns dbt metrics. Redash is the lighter SQL share layer. Evidence is SQL-and-markdown reporting. Cube is the semantic API. PostHog is product analytics you can self-host, not classic BI. Treat the set as open source or source-available you can run yourself, not as eight identical OSI clones.
Frequently Asked Questions
What is the best open source BI tool in 2026?
Metabase is the best first install for mixed SQL skill. Apache Superset is the better Apache-governed engine for larger visualization and SQL Lab work. Grafana wins if the data is metrics and logs. None of those is PostHog, which is product analytics.
Is PostHog a BI tool?
No. PostHog is product analytics (events, flags, replay) with a self-host path. It is on this list as an honest eighth pick for teams that want to run analytics themselves. It does not replace Metabase or Apache Superset on a warehouse.
Is every pick OSI open source?
No. This guide uses 'open source or source-available you can run yourself.' Licenses differ (AGPL, Apache 2.0, BSD, and source-available variants). Read the license for your use, especially embedding and SaaS.
Why is Looker or GoodData not on this list?
They are paid closed platforms. This list is self-run open source or source-available tools. Hosted Looker Studio is free but not OSS, so it belongs on a free-BI guide, not here.
Can I use Apache Superset and Metabase together?
Yes. Some teams give Metabase to business users and keep Apache Superset or Redash for analyst SQL. Cube can sit under both so metric names match.