Datapane
From Jupyter to data app in one line of code
PostgreSQL
A powerful, open source object-relational database system
Updated February 2026
| Datapane | PostgreSQL | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 2 | 74 |
| Pros | 0 | 19 |
| FactScore™ | 23.9 | 93.8 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Datapane — Pros
No unique pros listedBoth tools — Pros
—Only in PostgreSQL — Pros
Reliability Performance Scalability Advanced features Open source Advanced indexing Pgvector extension Extensibility Complex queries JSON support Robust transaction support SQL compliance Strong community support Structured data management Data integrity Easy to scale Free Geospatial analysis High loads handlingOnly in Datapane — Cons
—Both tools — Cons
—Only in PostgreSQL — Cons
—Details
| Datapane | PostgreSQL | |
|---|---|---|
| Categories | Data visualization tools | Data visualization tools, Databases and backend frameworks |
| Platforms | Web | Web |
| Became Popular | November 12, 2020 | N/A |
| Website | datapane.com | www.postgresql.org |
Who Should Pick Which?
Choose Datapane if...
- No unique pros listed
Choose PostgreSQL if...
- Reliability
- Performance
- Scalability
With a FactScore™ of 23.9 vs 93.8, PostgreSQL leads in community reception. Datapane uniquely offers No unique pros listed, while PostgreSQL stands out for Reliability and Performance.
What Users Say
Datapane
I use datapane to visualize mobile device performance data from automated UI tests. Using modern python libraries like plotly and creating a web app with interactive charts using DataPane is the mo...
Super simple to get started with, it has a very modular structure with all the basic building blocks for a data app you may think of. Very helpful to build and share interactive dashboards and visu...
PostgreSQL
Postgres stands out thanks to its rock‑solid reliability and rich feature set—think advanced indexing, robust JSON support, and strong concurrency. It’s open source, highly scalable, and keeps our ...
I prefer PostgreSQL because it's just such an incredibly robust and versatile relational database that I trust. The huge advantage, especially for AI and search stuff lately, is the pgvector extens...
PGVector's native vector operations with PostgreSQL's ACID compliance works perfectly. We're storing millions of embeddings with sub-millisecond similarity search using cosine distance. The async c...
Related Comparisons
Frequently Asked Questions
Which is better, Datapane or PostgreSQL?
Based on FactScore™, PostgreSQL leads with a score of 93.8 vs 23.9. PostgreSQL has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Datapane compared to PostgreSQL?
Datapane uniquely offers: No unique pros listed.
What are the pros of PostgreSQL compared to Datapane?
PostgreSQL uniquely offers: Reliability, Performance, Scalability, Advanced features, Open source.
Is Datapane better rated than PostgreSQL?
Datapane is rated 5.0★ from 2 reviews. PostgreSQL is rated 5.0★ from 74 reviews.
What is the FactScore™ of Datapane and PostgreSQL?
FactScore™ weighs rating and review volume together. Datapane scores 23.9 and PostgreSQL scores 93.8.
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