Business Intelligence · head to head
Mode vs Hebbia
The short version
- Only Mode has a free tier, so it costs nothing to try first.
- Each has a real cost: Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets; Hebbia neither of Hebbia's two named products, Matrix and Max, has published pricing; the pricing page routes exclusively to a demo booking with no self-serve figures, as of August 2026.
Where they differ
Only the attributes on which Mode and Hebbia actually diverge.
Identical on both: platforms (Web), user rating (Not yet rated), category (Business Intelligence).
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 Hebbia
Nothing recorded that Mode does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Mode
- Self-service analyticsnot Hebbia
- Data explorationnot Hebbia
- Ad-hoc reportingnot Hebbia
- Collaborative analysisnot Hebbia
- Embedded analyticsnot Hebbia
Hebbia
No use cases recorded yet. See the Hebbia review.
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
Hebbia
- Neither of Hebbia's two named products, Matrix and Max, has published pricing; the pricing page routes exclusively to a demo booking with no self-serve figures, as of August 2026.
Pricing, plan by plan
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Hebbia
On requestNo published plan breakdown. See the Hebbia review.
Which should you pick?
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Choose Hebbia if
Nothing in the data separates Hebbia from Mode on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Mode or Hebbia better?
- Neither clearly leads. Mode starts at Free and Hebbia at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mode or Hebbia?
- Mode has a free tier; the other does not. Paid plans start at Free for Mode and On request for Hebbia.
- Does Mode or Hebbia run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Mode for free?
- Yes. Mode has a free tier, so you can try it without paying. Hebbia starts at On request.
- 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 Hebbia is typically brought in for.
- What can Mode do that Hebbia cannot?
- Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.
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