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.
Open source or source-available products you can run yourself, ranked for dashboards, SQL, and metrics you own.
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
Picked by editorial review, informed by G2 and Capterra review volume and rating and by media mentions, the signals behind our category rankings. How we rate
Self-hosted Community edition (AGPL) with a point-and-click builder, SQL editor, and no user cap on the software license.
Starting price
From $100 /mo
4.4 (209 reviews)
Best for
Teams that want self-serve dashboards without buying a per-viewer BI seat
Apache 2.0 BI and visualization engine. No paid Apache tier. Catalog slug apache-superset.
Starting price
Free
4.4 (53 reviews)
Best for
Data teams that want SQL Lab, many chart types, and an Apache-governed codebase
OSS dashboards for metrics, logs, and traces, with Grafana Cloud as an optional hosted rung.
Starting price
From $19 /mo
4.5 (275 reviews)
Best for
Engineering and ops teams visualizing Prometheus, Loki, CloudWatch, or mixed time-series sources
| Tool | Starting price | Rating | Best for |
|---|---|---|---|
| Metabase | From $100/mo | 4.4 209 reviews | Teams that want self-serve dashboards without buying a per-viewer BI seat |
| Apache Superset | Free | 4.4 53 reviews | Data teams that want SQL Lab, many chart types, and an Apache-governed codebase |
| Grafana | From $19/mo | 4.5 275 reviews | Engineering and ops teams visualizing Prometheus, Loki, CloudWatch, or mixed time-series sources |
| Lightdash | From $10/mo | 4.9 19 reviews | Analytics teams that already live in dbt and want dashboards on those metrics |
| Redash | Free plan | 4.3 44 reviews | Small data teams that want a light SQL share layer rather than a full Superset install |
| Evidence | From $15/mo | n/a | Analysts who want narrative reports next to queries, not a drag-and-drop canvas |
| Cube | From $40/mo | 4.6 30 reviews | Teams that already have a warehouse and need a semantic API, not another chart UI |
| PostHog | Free plan | 4.5 1,054 reviews | Product and engineering teams that want events, flags, and replay they can run themselves |
- Starting price
- From $100/mo
- Free plan
- Yes
- Rating
- 4.4 (209 reviews)
Best for: Teams that want self-serve dashboards without buying a per-viewer BI seat
- Pro: Community Edition is free to run yourself, with no license cap on users or saved questions
- Pro: Query builder plus native SQL covers both analysts and people who will not write joins
- Pro: Connects to 20-plus databases including Postgres, MySQL, Snowflake, and BigQuery
- Con: Row-level sandboxing, SSO, and audit extras sit on paid Pro and Enterprise
- Con: You own hosting, upgrades, and backups; there is no $0 official cloud
Metabase's pricing is generally fair, offering a generous Open Source tier for self-hosting.
Apache Superset
Apache 2.0 BI and visualization engine. No paid Apache tier. Catalog slug apache-superset.
- 4.4 on G2 (53 reviews)
- Starting price
- Free
- Free plan
- Free to use
- Rating
- 4.4 (53 reviews)
Best for: Data teams that want SQL Lab, many chart types, and an Apache-governed codebase
- Pro: Apache Software Foundation project: no vendor license gate on core features
- Pro: 40-plus databases, SQL Lab, and a wide chart library, including row-level security in the OSS build
- Pro: Handles large warehouse workloads without a per-seat surprise as viewer count grows
- Con: Steeper first week than Metabase for non-SQL users
- Con: Self-host at scale needs real CPU, cache, and a person who will patch it
Apache Superset's pricing is exceptionally generous, being entirely free.
- Starting price
- From $19/mo
- Free plan
- Yes
- Rating
- 4.5 (275 reviews)
Best for: Engineering and ops teams visualizing Prometheus, Loki, CloudWatch, or mixed time-series sources
- Pro: Grafana OSS is free to self-host with no license cap on dashboards or users
- Pro: 150-plus data source plugins, from Prometheus to PostgreSQL
- Pro: Alerting is part of the core product, not a separate purchase for the OSS path
- Con: This is not a business user's first warehouse BI tool; Metabase or Superset fit that job better
- Con: Reporting, some auth, and enterprise extras sit on paid Grafana
Grafana OSS is completely free for self-hosted visualization.
Watch out
14-day retention on Free; 30 days on Pro (logs/traces)
- Starting price
- From $10/mo
- Free plan
- Yes
- Rating
- 4.9 (19 reviews)
Best for: Analytics teams that already live in dbt and want dashboards on those metrics
- Pro: Self-hosted Community edition has no user-cap license on the OSS path
- Pro: dbt models become the metrics layer, which cuts a second modeling tool
- Pro: SQL runner, scheduled deliveries, and Sheets-style sync exist on the self-host path
- Con: Without a dbt project you are buying the wrong product
- Con: Some AI and embed features are cloud-only
Lightdash's pricing is very fair and generous, especially with a robust free self-hosted option.
- Starting price
- Free plan
- Free plan
- Yes
- Rating
- 4.3 (44 reviews)
Best for: Small data teams that want a light SQL share layer rather than a full Superset install
- Pro: Self-host with no user or dashboard license cap on the OSS build
- Pro: 35-plus data sources in one query editor, built for 'save this SQL and chart it'
- Pro: Lighter footprint than Apache Superset on modest hardware
- Con: Release cadence slowed after Databricks; treat it as mature, not fast-moving
- Con: Redash Cloud ended in 2021, so there is no official $0 host
Redash's pricing is exceptionally generous as it is entirely free and open-source.
- Starting price
- From $15/mo
- Free plan
- Yes
Best for: Analysts who want narrative reports next to queries, not a drag-and-drop canvas
- Pro: Reports live in git, which matches how data teams already review SQL
- Pro: SQL-native: the query is the source of truth, not a hidden GUI state
- Pro: Self-run path fits internal reporting sites without a per-viewer BI seat
- Con: Not a Metabase-style point-and-click tool for a non-technical exec
- Con: You need a publishing path (static host or app) on top of the repo
Evidence's pricing is quite generous, especially with its robust free Hobby tier.
Cube
Metrics and caching layer in front of the warehouse, so BI tools share one definition of a measure.
- 4.5 on G2 (27 reviews)
- 4.7 on SourceForge (3 reviews)
- Starting price
- From $40/mo
- Free plan
- Yes
- Rating
- 4.6 (30 reviews)
Best for: Teams that already have a warehouse and need a semantic API, not another chart UI
- Pro: Defines metrics once and serves them to Metabase, Superset, notebooks, or apps
- Pro: Caching takes repeat dashboard load off the warehouse
- Pro: Self-run and cloud options; the core job is the semantic layer
- Con: Cube is not a dashboard product. You still need Metabase, Superset, or similar on top
- Con: Modeling work is real; a messy warehouse stays messy behind a YAML file
Cube's pricing structure is fair, offering a generous Free tier for hobbyists to explore its semantic layer and agentic analytics.
Watch out
No explicit mention of data volume or query overage fees beyond limits.
- Starting price
- Free plan
- Free plan
- Yes
- Rating
- 4.5 (1,054 reviews)
Best for: Product and engineering teams that want events, flags, and replay they can run themselves
- Pro: Self-host path plus a generous cloud free tier for product analytics
- Pro: Events, feature flags, and session replay in one product, which a BI tool will not ship
- Pro: Useful when the question is product usage, not finance or ops metrics
- Con: This is not classic BI. It will not replace Metabase or Apache Superset on a warehouse
- Con: Self-host is an ops project (ClickHouse and friends), not a single Docker toy
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
You can run it yourself (Essential)
A self-host or self-run path is required on this list. Hosted cloud tiers are optional extras, not the definition.
Connectors you already have (Essential)
Postgres, MySQL, BigQuery, Snowflake, and similar. Grafana adds Prometheus and Loki. PostHog adds its own event store.
Who can build a chart without a ticket (Important)
Metabase's query builder is the low-SQL path. Superset and Redash assume more SQL comfort.
Semantic layer versus raw SQL (Important)
Lightdash and Cube exist so 'revenue' means one thing. Metabase and Redash will let five people define it five ways.
Release cadence after acquisition (Nice to have)
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.
Cite this page: Toolradar, "Best Open Source BI Tools in 2026", updated September 2026, https://toolradar.com/guides/best-open-source-bi-tools
Sources
Prices and plan details on this page come from each vendor's own pricing page, re-checked by the Toolradar pricing tracker:
- Metabase pricing, checked
- Apache Superset pricing, checked
- Grafana pricing, checked
- Lightdash pricing, checked
- Redash pricing, checked
- Evidence pricing, checked
- Cube pricing, checked
- PostHog pricing, checked
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