Tower vs Looker
Looker is Google Cloud's BI platform, built on LookML and now with Conversational Analytics. Tower builds the semantic layer for you. Here is how they compare, with sources.
The short version
Looker's LookML gives data teams a governed, version-controlled semantic layer, and Conversational Analytics now lets users ask questions about it in natural language.
Tower's difference is that nobody writes the semantic layer: Tower builds the connectors, joins, transformations and model, then the dashboard, from your connected sources.
Comparison
Side by Side
Competitor details are from Looker's own pricing and documentation pages, checked on 8 November 2026. Sources are listed at the end of this page.
| Area | Tower | Looker |
|---|---|---|
| What it is | An AI analytics platform that automates the path from data connection to dashboard and recommended actions | Google Cloud's BI platform, built on the LookML semantic layer |
| Data preparation | Connectors, joins and transformations are generated for you, on a managed data lake | Queries your warehouse directly; transformations usually live in the warehouse or in separate tools |
| Data model | Tower builds the semantic layer from your connected sources | Developers write the semantic layer in LookML, which gives strong governance, version control and reuse |
| Building dashboards | Describe the dashboard in plain language or quick-generate one, then refine it by chat or in the editor | Explores and dashboards built on top of LookML models |
| Conversational AI | Natural-language chat is the main way to work | Conversational Analytics and data agents, grounded in the LookML model; free within fair use until 31 January 2027, then billed by data tokens beyond each edition's allowance |
| Predictive and prescriptive | Descriptive, predictive and prescriptive analytics, including recommended next actions | Forecasting in Explore visualizations; Google lists prediction and forecasting as unsupported in Conversational Analytics |
| Time to first dashboard | About 2 minutes after connecting a source (our estimate) | Fast once LookML models exist; new sources need LookML work first |
| Skills needed | No SQL, LookML or scripting | Developers need LookML and SQL; business users explore the governed models |
| Pricing model | Professional per user; Enterprise with unlimited users on tiered credits | Platform edition (Standard, Enterprise or Embed) on an annual commitment, plus user licences; priced by Google sales |
Fit
When Each One Fits
Tower is a good fit if you:
- Don't have LookML developers, or have a backlog waiting on them
- Want connectors, joins, transformations and the semantic layer built for you
- Want predictive and prescriptive answers from the same conversational interface
- Use data across many platforms, not mainly Google Cloud
Looker is a good fit if you:
- Want a code-reviewed, version-controlled semantic layer owned by your data team
- Already have LookML developers and mature models
- Run your warehouse on Google Cloud and BigQuery
- Need embedded analytics at scale (Looker's Embed edition)
Pricing
List Prices
Published list prices in US dollars as of 8 November 2026. Negotiated quotes, regional prices and add-ons vary, so confirm with each vendor.
Tower
- Explore: free access to public dashboards, no credit card required
- Professional: $100 per user per month, with 11 popular connectors and up to 100 dashboards
- Enterprise: custom pricing on tiered credits, with unlimited users and dashboards, 700+ connectors, SSO, RBAC and audit logging
- Free trial on request
Looker
- Standard, Enterprise and Embed editions: priced by Google sales, on an annual commitment
- Each edition includes 10 Standard users and 2 Developer users; more user licences are extra
- Conversational Analytics: free within fair use until 31 January 2027
- From 1 February 2027: $3 per million input and $20 per million output data tokens beyond the monthly allowance
Switching
Moving from Looker to Tower
Tower connects to the same warehouses Looker queries. LookML isn't imported; Tower builds its own model, and you can run both tools while you check that the numbers match.
- Connect the warehouse tables behind your most-used Explores.
- Let Tower build the data model, then check its metrics against your LookML definitions.
- Recreate your priority dashboards by describing them, and share them with users.
- Retire Explores and dashboards as they are replaced.
FAQ
Frequently asked questions
Key answers for technical and business evaluators.
Sources
Sources
Competitor facts checked on 8 November 2026. Vendors change prices and features often; tell us if something here is out of date.
- Looker pricing (Google Cloud)
- Conversational Analytics in Looker overview (Google Cloud documentation)
- Forecasting in visualizations (Google Cloud documentation)
- Tower pricing
Looker is a trademark of its owner. Codygon is not affiliated with or endorsed by it. Tower timings are our estimates.
Next step
See Tower Next to Looker
Bring a question your team answers in Looker today, and we'll build it in Tower during the demo.
Learn more about Tower