Software · head to head
Mode vs Databox
The short version
- Each has a real cost: Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets; Databox data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
- They diverge on capability: Mode covers SQL Editor, Databox covers Pre-built Dashboards.
Where they differ
Only the attributes on which Mode and Databox actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
Only in Databox
- Pre-built Dashboards
- Goal Tracking
- Alerts
- Scorecards
- Mobile App
- HubSpot
- Google Analytics
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Mode
- Self-service analyticsnot Databox
- Data explorationnot Databox
- Ad-hoc reportingnot Databox
- Collaborative analysisnot Databox
- Embedded analyticsnot Databox
Databox
- Building business dashboards from multiple SaaS data sourcesnot Mode
- Tracking KPIs and metrics across marketing, sales and finance toolsnot Mode
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Databox
- Data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
- The $64 Analyst plan is capped at 5 data sources and a single user
- The free plan allows 3 data sources, 10 custom metrics and one user
- AI credits are metered monthly, from 50 on free to 4,000 on Growth
- Every published price assumes annual billing, with monthly costing 20% more
Pricing, plan by plan
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Databox
Free- FreeFree
- 3 Data Sources
- Basic Features
- Community Support
- Starter$72/month
- 10 Data Sources
- Alerts
- Forecasting
Which should you pick?
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Choose Databox if
- You need pre-built dashboards.
- You want to start without paying.
- You work on Web, Mobile, Tv.
- You also want goal tracking.
Questions people ask
- Is Mode or Databox better?
- Neither clearly leads. Mode starts at Free and Databox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mode or Databox?
- Mode starts at Free and Databox at Free.
- Does Mode or Databox run on more platforms?
- Mode runs on Web. Databox runs on Web, Mobile, Tv.
- Can I use Mode for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Mode best used for?
- Mode is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Databox is typically brought in for.
- What can Mode do that Databox cannot?
- Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. Both handle Web support.
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.
Source