Mode vs Looker: which should you choose?
Quick answer: Mode is built for data-analysts, while Looker suits data-teams. For most users Looker is the stronger default, but Mode can be the better fit depending on your budget and use case. Mode has the lower entry price.
Mode versus Looker comes down to which trade-offs you can live with. Below we compare them on pricing, strengths and the use cases each one fits, then give a clear verdict.
Side-by-side
| Mode | Looker | |
|---|---|---|
| Category | Bi Platform | Bi Platform |
| What it's known for | Analyst-centric platform combining SQL, Python/R notebooks and visualization in one workflow; owned by ThoughtSpot, aimed at advanced data teams. | Google Cloud's enterprise BI platform built on the LookML semantic modeling layer, giving a single governed source of truth and powerful embedded/data-app capabilities. |
| Pricing | Free Studio plan; paid plans from ~$49/user/mo (billed annually); enterprise custom (~$6k-50k+/yr) | Custom quote only (platform fee + per-user); no public list price; enterprise deployments typically tens of thousands to $100k+/yr |
| Best audience | Advanced data analysts and data-science-leaning teams comfortable with code. | Data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse. |
| Best for | data-analysts, sql-python-teams | data-teams, embedded-analytics |
| Entry price | Historically free | Quote (est. ~$35k-$66k/yr) |
| Biggest strength | Strong code-first workflow (SQL + Python + R together). | Strong governed semantic layer (single source of truth). |
| Main caveat | Mode no longer exists as an independent product; folded into ThoughtSpot. | No public list pricing; quotes are high (tens of thousands to $100k+/yr). |
Features compared
The feature sets only partly overlap. Here is what each one actually gives you:
Mode key features
- SQL editor combined with Python/R notebooks in one workflow
- Visualization and report builder on query results
- Collaborative analysis and shareable reports
- Now delivered as ThoughtSpot 'Analyst Studio'
Looker key features
- LookML semantic modeling layer for a single governed source of truth
- Git-based version control of data models
- Embedded analytics and data-app APIs/SDKs
- In-database architecture (queries the warehouse live, no extracts)
Pricing tiers side by side
Mode plans
| Plan | Price | What's included |
|---|---|---|
| Studio (legacy free) | Historically free | Legacy standalone plan |
| Paid (legacy) | from ~$49/user/mo (est.) | Pre-acquisition estimate |
| ThoughtSpot / Analyst Studio | Custom (enterprise) | Now sold via ThoughtSpot |
Looker plans
| Plan | Price | What's included |
|---|---|---|
| Standard | Quote (est. ~$35k-$66k/yr) | Platform fee + per-user; smaller deployments |
| Enterprise | Quote (est. ~$132k/yr) | Advanced security/governance |
| Embed | Quote (est. ~$180k-$198k/yr) | Customer-facing embedded analytics |
Tiers compiled from the vendors' published plans and independent reviews; prices are approximate and change often, so confirm current figures (and your region's taxes) on each vendor's site.
Strengths compared
Where Mode wins
Code-first SQL+Python/R analysis, now living inside ThoughtSpot's Analyst Studio.
- Strong code-first workflow (SQL + Python + R together).
- Good for advanced, analyst-led exploration.
That makes it the stronger pick for advanced data analysts and data-science-leaning teams comfortable with code.
Where Looker wins
A governed semantic layer and APIs that make it as much a data platform as a BI tool.
- Strong governed semantic layer (single source of truth).
- Excellent for embedded analytics and data products.
That makes it the stronger pick for data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse.
Verdict: choose by fit
Pick by fit rather than by an overall score.
- Choose Mode if you fit its core audience — advanced data analysts and data-science-leaning teams comfortable with code.
- Choose Looker if you fit its core audience — data teams and software vendors wanting governed metrics and embedded analytics on a cloud warehouse.
FAQ
Is Mode better than Looker?
Looker is the stronger default for most users, but Mode can be the better fit depending on your budget and use case.
What is the main difference between Mode and Looker?
Mode is code-first SQL+Python/R analysis, now living inside ThoughtSpot's Analyst Studio. Looker is a governed semantic layer and APIs that make it as much a data platform as a BI tool.
Which is cheaper, Mode or Looker?
Entry pricing differs: Mode starts at Historically free, while Looker starts at Quote (est. ~$35k-$66k/yr). Compare the tiers above against your usage.
Sources
Facts above are drawn from these independent reviews and the vendors' own pages for Mode and Looker: