O narzędziu
Looker (Google Cloud) to enterprise BI z semantic layer. LookML daje centralized metric definitions (single source of truth). Native Google integration (BigQuery, Google Sheets, Analytics, Cloud). Looker Studio: DARMOWY z Google data sources. Strong data governance + security. Embedded analytics. Git-based version control.
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Cennik
- •Looker Studio: DARMOWY (basic, Google data sources).
- •Looker (pelny): custom pricing (od ~$5000/mies.
- •enterprise).
- •Google Cloud consumption-based.
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API i integracje
- •Looker API.
- •Embedded analytics SDK.
- •LookML model API.
- •Integracje: BigQuery, Google Sheets, Analytics, Cloud SQL, Spanner, 50+ connectorow.
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Funkcje dodatkowe
- •LookML (semantic modeling)
- •Looker Studio (free dashboards)
- •Custom dashboards
- •Embedded analytics
- •Git-based version control
- •Centralized metrics (single source of truth)
- •50+ data connectors (Google-native)
- •Row-level security
- •Scheduled reports
- •Data governance
- •API
- •Alerts
- •Mobile
- •Explore (ad-hoc analysis).
✓ Zalety
+LookML — centralized metric definitions (single source of truth)
+Native Google integration (BigQuery, Sheets, Analytics)
+Looker Studio: DARMOWY z Google data sources
+Strong data governance + security
+Embedded analytics
+Git-based version control
✗ Wady
−LookML: steep learning curve (potrzebny developer)
−Looker (pelny): DROGI (custom, enterprise)
−Wymaga Google Cloud
−Mniej intuicyjny niz Tableau/Power BI
Szczegóły
CenaFreemium (Looker Studio free)
KategoriaAnaliza Danych
LookMLLooker Studio freeGoogle CloudSemantic layerEmbeddedGit