The best open-source Looker Studio alternatives in 2026 are Apache Superset and Metabase — both self-hostable, both free to run on your own infrastructure, and both giving you dashboards, data connections, and sharing without tying your reports to Google's cloud. Superset suits data teams who want depth; Metabase suits business teams who want speed.
Short answer
Apache Superset and Metabase are the strongest open-source alternatives to Looker Studio (renamed Data Studio by Google in April 2026) in 2026. Superset is the most powerful — a SQL-first dashboard platform with 50-plus chart types under the permissive Apache 2.0 licence. Metabase is the easiest — a no-code question builder plus SQL, open source under the AGPL. Both self-host, so your dashboards and data stay on infrastructure you own.
Looker Studio is a genuinely good free dashboarding tool, and Google leans into that — it connects effortlessly to BigQuery, Google Sheets, and Google Ads. But it is proprietary, hosted only by Google, and your reports live inside Google's cloud. I am Manoj, an open-source implementation consultant at Mith Tech in Bengaluru, and I set up self-hosted dashboards for Indian SMBs running ERPNext and other databases. I have deployed both Superset and Metabase in production, so this is a practitioner's comparison, not a feature list.
The honest take: Looker Studio's free tier is hard to beat if your data already lives in Google's ecosystem — the reason to move to open source is ownership and control, not a lower sticker price.
What is the best open-source Looker Studio alternative in 2026?
Apache Superset and Metabase lead the open-source dashboarding field in 2026. Superset wins on depth: a first-class SQL workbench and dozens of chart types, including geospatial ones, suit data-fluent teams. Metabase wins on ease: a visual question builder lets non-technical staff answer questions without SQL. Both self-host, so your reports never leave systems you control.
The two tools solve the Looker Studio job from opposite ends. Superset starts from the analyst and layers on governance and scale. Metabase starts from the business user and adds power as you grow. Neither hosts your dashboards inside a vendor's cloud the way Looker Studio does — you run them on your own server, in a region you choose. For the wider pattern of replacing rented SaaS with owned tools, see my guide to open-source SaaS alternatives.
Skimmable summary: Apache Superset and Metabase are the leading open-source Looker Studio alternatives in 2026. Superset is deepest for data teams; Metabase is easiest for business users. Both self-host, so reports stay on infrastructure you own.
Why look for an open-source Looker Studio alternative?
Data ownership and lock-in are the two big reasons. Open-source dashboards run on infrastructure you control, so your reports, queries, and connection credentials never live inside a vendor's cloud. Looker Studio is free and polished, but it is Google-hosted and Google-tied — the moment your data sits outside Google's ecosystem, its convenience advantage shrinks and the lock-in becomes the cost.
Looker Studio is genuinely capable, and I never pretend otherwise. Google renamed it back to Data Studio in April 2026 and positioned it as the hub for personal, ad-hoc reporting across BigQuery, Sheets, and Ads. That is exactly its strength and its limit: it shines when your data already lives in Google's cloud, and it leans on a connector marketplace for everything else. With Superset or Metabase, you connect directly to your own operational databases, keep the data on your own servers, and read or modify the source code. Nobody can change the product's name, pricing model, or connector policy out from under you.
Skimmable summary: Choose an open-source Looker Studio alternative for data ownership and freedom from Google lock-in. Looker Studio is free and strong inside Google's ecosystem, but it is proprietary, Google-hosted, and connector-dependent for outside data.
Apache Superset vs Metabase: which open-source dashboard tool fits you?
Team skill is the deciding factor. Superset assumes SQL fluency and rewards it with a superior query workbench and far more chart types. Metabase is built so a sales or finance manager can build a chart by clicking through a question, with SQL available underneath for analysts. Choose Superset for data-led teams with engineering support; choose Metabase for mixed business teams.
| Factor | Apache Superset | Metabase |
|---|---|---|
| Licence model | Fully open source (Apache 2.0) | Open source (AGPL) + commercial editions |
| Best for | Analysts, data engineers | Business users, mixed teams |
| No-code builder | Present but SQL-oriented | Strong, beginner-friendly |
| SQL editor | Yes — SQL Lab, best-in-class | Yes |
| Chart variety | 50+ types, incl. geospatial | Solid core set |
| Ease of setup | Needs more engineering | Simplest to stand up |
| Governance / scale | Excellent for large orgs | Good |
Both are excellent; the pick is about who will use and run the tool. If you want to explore each in depth, I keep implementation notes on the Apache Superset product page, and my open-source Power BI alternative guide compares them side by side for heavier BI work.
Skimmable summary: Choose Superset for SQL-fluent data teams who need the best query workbench, more chart types, and stronger scale. Choose Metabase for mixed business teams who want a no-code builder with SQL underneath.
How do Superset and Metabase compare to Looker Studio?
Capability parity is closer than most buyers expect. For the core dashboarding job — connect to a data source, explore data, build charts, assemble dashboards, share them, schedule reports — Superset and Metabase cover what the vast majority of SMBs actually use in Looker Studio. The gaps sit at the edges: Looker Studio's zero-setup convenience and its deep, native links into Google Ads, Analytics, Sheets, and BigQuery.
| Capability | Apache Superset | Metabase | Looker Studio |
|---|---|---|---|
| Self-hosted / data ownership | Yes | Yes | No — Google-hosted |
| Open source | Yes (Apache 2.0) | Yes (AGPL) | No |
| Direct database connections | Yes | Yes | Via connectors |
| No-code exploration | Partial | Yes | Yes |
| SQL editor | Yes (SQL Lab) | Yes | Limited |
| Dashboards & scheduled reports | Yes | Yes | Yes |
| Google Ads / Analytics integration | Via SQL / connectors | Via connectors | Best-in-class, native |
The honest read: if your reporting revolves around Google Ads, Analytics, and Sheets, Looker Studio's native connectors are hard to match with no setup. For dashboards on your own operational data — sales, inventory, finance in a database you run — the open-source pair is more than enough and keeps the data yours.
Skimmable summary: For core dashboarding — connect, explore, build, share, schedule — Superset and Metabase match what most SMBs use in Looker Studio. Looker Studio still leads on zero-setup convenience and native Google Ads, Analytics, and Sheets integration.
What are the honest gaps and limitations of open-source dashboards?
Operational effort is the real cost of open-source dashboards. Self-hosting means you handle installation, upgrades, backups, security patching, and scaling — work that Google absorbs entirely with Looker Studio's hosted, zero-maintenance model. Superset in particular expects real engineering capacity to run well at scale, while Metabase is lighter but still needs someone to own it.
There are feature gaps too, and I name them plainly with clients. Superset connects to SQL-speaking databases through SQLAlchemy, so it is not a drag-and-drop tool for pulling in arbitrary marketing APIs the way Looker Studio's connector marketplace is — you point it at a database, not at a hundred SaaS connectors. Metabase's AGPL open-source edition is generous, but some advanced governance and embedding features sit in its paid commercial editions. And neither ships the effortless, click-to-connect Google Ads and Analytics reporting that Looker Studio is built around. Know these trade-offs before you commit.
Skimmable summary: The real cost of open-source dashboards is operational — you self-host, upgrade, and secure them. Superset connects to SQL databases rather than a connector marketplace; some Metabase features are in paid editions; and neither matches Looker Studio's native Google-marketing reporting.
How do you connect open-source dashboards to your business data?
Direct database connection is the standard path. Both Superset and Metabase connect straight to the SQL database your application runs on — for ERPNext, that is MariaDB or PostgreSQL — or to a read replica, so you build live dashboards on your real operational data. Running your own dashboards on your own database gives you a fully owned reporting stack that no vendor hosts on your behalf.
Provision read access
Create a read-only database user, ideally against a replica, so dashboard queries never slow down live transactions in your application.
Add the connection
In Superset or Metabase, add the database as a data source using that read-only user's credentials — no third-party connector or cloud middleman required.
Model the key tables
Map the tables you report on most into Superset datasets or Metabase saved questions, joining or filtering with SQL where you need to.
Build and share dashboards
Assemble dashboards for each team, set scheduled reports or alerts, and share by link — all from a server you control.
For businesses standardising on the Frappe stack, this pairs naturally with an owned ERP — see the ERPNext product page for how the core system fits, then layer Superset or Metabase on top for analytics.
Skimmable summary: Connect Superset or Metabase directly to your application's SQL database — MariaDB or PostgreSQL for ERPNext — ideally a read replica with a read-only user. Model the key tables, then build and share dashboards from a server you control.
Who should still use Looker Studio?
Google-centric reporting is the clearest case for staying on Looker Studio. Marketing and analytics teams whose data already lives in Google Ads, Analytics, BigQuery, and Sheets get native, zero-setup connectors that open-source tools cannot match without extra work. Teams with no appetite to self-host anything, who want free hosted dashboards and nothing to maintain, are also well served by staying put.
I never push open source where it does not fit. If your reporting is a set of Google Ads and Analytics dashboards, Looker Studio removes real friction, and its free hosted model is a legitimate reason to stay. The moment you want dashboards on your own operational database, value data residency, or already run open-source systems like ERPNext, Superset and Metabase become the stronger long-run choice — you own the tool, the data, and where both live.
Skimmable summary: Stay on Looker Studio if your reporting centres on Google Ads, Analytics, and Sheets, or if you cannot self-host. Move to open source when you want dashboards on your own database, value data residency, or already run open systems like ERPNext.
Frequently asked questions
Is there a free open-source alternative to Looker Studio?
Yes. Apache Superset and Metabase are both free, open-source dashboard tools you can self-host as Looker Studio alternatives. Superset is fully open under the permissive Apache 2.0 licence, and Metabase's open-source edition is released under the AGPL. You run them on your own server and pay no licence fee — only your hosting and the effort to maintain the tool.
Is Looker Studio still called Looker Studio in 2026?
Not officially. Google renamed Looker Studio back to Data Studio in April 2026, positioning it as the hub for personal, ad-hoc reporting within the Google Data Cloud ecosystem. The enterprise product Looker, built around governed semantic models, is separate. Many people still say "Looker Studio," but the tool's current name is Data Studio.
Can Superset or Metabase replace Looker Studio for Google Ads reporting?
Partly. Looker Studio has native, zero-setup connectors for Google Ads and Analytics that Superset and Metabase do not match out of the box. To report on Google marketing data in an open-source tool, you typically export or sync it into a database first, then connect Superset or Metabase to that. For dashboards on your own operational data, the open-source tools are the stronger fit.
Do open-source dashboard tools work without SQL knowledge?
Metabase works well without SQL — its visual question builder lets business users filter, group, and chart data by clicking. Superset can be used without writing SQL too, but it is more SQL-oriented and rewards query fluency. For a mixed team where not everyone codes, Metabase is the safer choice; for a data-led team, Superset's SQL depth is an advantage rather than a barrier.
Can I self-host Superset and Metabase in India?
Yes. Both Superset and Metabase self-host on any server you choose, including cloud regions and providers based in India, so your data stays on infrastructure you control. This helps with data-residency preferences and keeps dashboards close to systems like ERPNext. You handle installation, upgrades, and backups yourself, or work with an implementation partner to run them for you.
How do Superset and Metabase compare to Looker Studio on cost?
The models differ fundamentally. Looker Studio's core product is free but Google-hosted, so you trade hosting fees for lock-in to Google's cloud. Superset and Metabase's open-source editions are free to run, so you pay only for your own hosting and maintenance while keeping full ownership. Commercial editions and hosted services for any of these tools have their own pricing — check each vendor's official page.
About the author
Manoj is an open-source implementation consultant at Mith Tech in Bengaluru. He helps Indian SMBs build owned technology stacks — ERPNext for operations, and self-hosted dashboard tools like Apache Superset and Metabase for analytics — so teams keep control of their data and where it lives.
Want owned dashboards on top of your own data?
I help businesses in Bengaluru and across India deploy Apache Superset or Metabase on their own infrastructure, connected to ERPNext for live operational dashboards. See the Apache Superset page, or get in touch.