Looker Alternatives 2026
Looker — BI platform from Google (acquired 2019 $2.6B). Unique: LookML semantic layer — define metrics once, reuse in dashboards. Enterprise-focused, $5k+/mo. 2026 alternatives: Metabase (open source, simple), Apache Superset (open, rich), Cube (open semantic layer), Preset (Superset Cloud SaaS), Lightdash (dbt-integrated BI), Mode (SQL + notebooks), Yandex DataLens (RU-native).
Below: competitor overview, feature comparison, when to pick each, FAQ.
About the Competitor
Looker founded by Lloyd Tabb (2012, Santa Cruz). Google acquired 2019 $2.6B. LookML — proprietary modelling language for semantic layer. Looker Studio (free) — separate product from Data Studio.
Enterno.io vs Competitor — Feature Comparison
| Feature | Enterno.io | Competitor |
|---|---|---|
| Semantic layer (define metrics once) | ❌ | ✅ LookML |
| Open source | ❌ | ❌ (Metabase/Superset yes) |
| Dashboard builder | ⚠️ | ✅ |
| Price (mid-tier) | N/A | $5k+/mo |
| Looker Studio (free) | N/A | ✅ free (GDS legacy) |
| Russia access | ✅ | ⚠️ GCP-dependent |
When to Pick Each Option
- Enterprise data governance + semantic layer — Looker
- Free, simple BI — Metabase
- Rich OSS dashboard (like Tableau) — Apache Superset
- dbt-integrated semantic + BI — Lightdash
- Semantic layer as API (headless BI) — Cube
- SQL-focused + notebooks — Mode
- Runet-native BI — Yandex DataLens / Foglight
- Monitor BI endpoint — Enterno
Learn more
Frequently Asked Questions
Looker Studio vs Looker?
Looker Studio (ex-Google Data Studio) — free, simple viz. Looker — enterprise BI ($5k+) with LookML. Completely different products.
Is Metabase OSS enough?
For startup 1-50 sources — yes. Limited advanced features (no semantic layer, basic permissions). Metabase Pro ($85/user/mo) adds more.
Lightdash vs Looker?
Lightdash: open source, dbt-native semantic layer (metrics defined in dbt YAML). Cheaper, but smaller ecosystem.
Monitor BI endpoint?
<a href="/en/check">Enterno HTTP</a> for :4000/api/health. Downtime alerts in Slack/Telegram.