Business Intelligence · head to head
Mode vs Postgres
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; Postgres each major version is supported for only 5 years after its initial release, after which it is end-of-life
- They diverge on capability: Mode covers SQL Editor, Postgres covers ACID compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Mode and Postgres actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Postgres
- ACID compliance
- Complex queries
- Foreign keys
- Triggers
- Views
- Stored procedures
- JSON/JSONB support
- Full-text search
What people use each for
The jobs each tool is most often brought in to do.
Mode
- Self-service analyticsnot Postgres
- Data explorationnot Postgres
- Ad-hoc reportingnot Postgres
- Collaborative analysisnot Postgres
- Embedded analyticsnot Postgres
Postgres
- Running a general purpose relational database for applicationsnot Mode
- Self-hosting an open source SQL database with no licence feenot Mode
- Workloads needing extensions, JSON and full text search in one enginenot 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
Postgres
- Each major version is supported for only 5 years after its initial release, after which it is end-of-life
- Major version upgrades break on-disk compatibility and require a full dump and reload or the pg_upgrade tool
- New major versions ship about once a year, so staying supported means a disruptive upgrade cycle
- Minor releases contain only frequently-encountered bug fixes, low-risk fixes, security issues and data corruption fixes, so feature gaps are not addressed within a major version
- There is no vendor SLA; commercial support must be bought separately from third party professional services listed by the project
Pricing, plan by plan
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
Postgres
Free- Community EditionFree
- Full database features
- No limitations
- Community support
Which should you pick?
Choose Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Choose Postgres if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, Macos, Docker.
- You also want complex queries.
Questions people ask
- Is Mode or Postgres better?
- Neither clearly leads. Mode starts at Free and Postgres at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mode or Postgres?
- Mode starts at Free and Postgres at Free.
- Does Mode or Postgres run on more platforms?
- Mode runs on Web. Postgres runs on Linux, Windows, Macos, Docker.
- 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 Postgres is typically brought in for.
- What can Mode do that Postgres cannot?
- Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control. Postgres covers ACID compliance, Complex queries, Foreign keys, Triggers.
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.
SourcePostgres: How much does PostgreSQL cost to use?
PostgreSQL is completely free to download, install, and use. No licensing fees, subscription costs, or per-seat charges apply. The database is open source under the PostgreSQL License. Source: https://www.postgresql.org
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.
SourcePostgres: Are there commercial PostgreSQL support options available?
Official PostgreSQL (the project) is free. Commercial PostgreSQL services such as hosting, professional support, training, and managed database services are offered by third-party vendors, not the PostgreSQL project itself. Source: https://www.postgresql.org
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.
SourcePostgres: Do I need a license to use PostgreSQL commercially?
No. PostgreSQL is open source under the PostgreSQL License, which permits free commercial use without royalties, licensing fees, or support obligations. Source: https://www.postgresql.org
SourceRelated pages
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- Postgres vs Periscope Data
- Postgres vs Domo
- Postgres vs Fabi
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- Postgres vs TIBCO Spotfire
- Postgres vs Hex
- Postgres vs GoodData
- Postgres vs Grow
- Postgres vs Qlik Sense
- Postgres vs Databox
- Postgres vs Cube
- Postgres vs Jedox
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- Postgres vs ClickUp
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- Postgres vs Redis
- Postgres vs Aha!
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- Postgres vs Excalidraw
- Postgres vs MongoDB
- Postgres vs Okta
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- Postgres vs Close
- Postgres vs Coda
- Postgres vs Drift
- Postgres vs JetBrains IntelliJ IDEA
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