Software · head to head
Looker vs Mode
The short version
- Only Mode has a free tier, so it costs nothing to try first.
- Each has a real cost: Looker requires annual commitment with no month-to-month billing option; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- They diverge on capability: Looker covers LookML Data Modeling, Mode covers SQL Editor.
Where they differ
Only the attributes on which Looker and Mode actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Data Actions
- MySQL
- Salesforce
- Mobile support
- Api support
Only in Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Scheduling
- Databricks
- Slack
Both cover
- Version Control
- BigQuery
- Snowflake
- Redshift
- PostgreSQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Mode
- Embedded analytics for integrating BI capabilities into third-party applicationsnot Mode
Mode
- Self-service analyticsnot Looker
- Data explorationnot Looker
- Ad-hoc reportingnot Looker
- Collaborative analysisnot Looker
- Embedded analyticsnot Looker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Looker
- Requires annual commitment with no month-to-month billing option
- Conversational analytics will incur token overage charges ($3.00 per 1M input tokens, $20.00 per 1M output tokens) after October 1, 2026
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
Pricing, plan by plan
Looker
On requestNo published plan breakdown. See the Looker review.
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Which should you pick?
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is Looker or Mode better?
- Neither clearly leads. Looker starts at On request and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Looker or Mode?
- Mode has a free tier; the other does not. Paid plans start at On request for Looker and Free for Mode.
- Does Looker or Mode run on more platforms?
- Looker runs on Web, Cloud (Google Cloud Platform). Mode runs on Web.
- Can I use Mode for free?
- Yes. Mode has a free tier, so you can try it without paying. Looker starts at On request.
- What is Looker best used for?
- Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what Mode is typically brought in for.
- What can Looker do that Mode cannot?
- Looker covers LookML Data Modeling, Embedded Analytics, API Access, Data Actions. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Scheduling. Both handle Version Control, BigQuery, Snowflake, Redshift.
Answered from the vendors’ own pages
Mode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
SourceRelated pages
Keep looking
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