Data & Analytics comparison
Tableau vs Looker
Our pick: Tableau scores 8.6/10 against 8.2/10 for Looker. Here's how they differ and which one fits your needs.
VS
At a glance
| Tableau | Looker | |
|---|---|---|
| Our score | 8.6/10 | 8.2/10 |
| Best for | Enterprises, BI analysts | Data teams, Enterprises |
| Type | BI & dashboards | BI & dashboards |
| Pricing | Paid | Contact sales |
| Starting price | See website | See website |
| Platforms | Web, Windows, Mac | Web |
| Launched | 2003 | 2012 |
Key features
Tableau
- Visual dashboards
- Tableau AI
- Tableau Pulse
- Data prep
- Salesforce integration
Looker
- LookML semantic layer
- Conversational analytics
- Looker Studio
- Embedded analytics
- Gemini assistance
Tableau: pros and cons
Pros
- Best-in-class visualisation
- Mature ecosystem
Cons
- Expensive licensing
- AI features tied to higher tiers
Looker: pros and cons
Pros
- Strong governed semantic layer
- Integrates with BigQuery
Cons
- LookML learning curve
- Enterprise pricing
Verdict: Tableau or Looker?
Choose Tableau if you're enterprises or bi analysts and value best-in-class visualisation.
Choose Looker if you're data teams or enterprises and value strong governed semantic layer.
Overall we rate Tableau slightly higher. Both are worth trying. See all Data & Analytics tools for more options.
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