Datakit
The data platform that works your way
PostgreSQL
A powerful, open source object-relational database system
Updated February 2026
| Datakit | PostgreSQL | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 1 | 74 |
| Pros | 0 | 19 |
| FactScore™ | 15.1 | 93.8 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Datakit — 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 Datakit — Cons
—Both tools — Cons
—Only in PostgreSQL — Cons
—Details
| Datakit | PostgreSQL | |
|---|---|---|
| Categories | Data visualization tools, Business intelligence software, Analytics Databases | Data visualization tools, Databases and backend frameworks |
| Platforms | Web | Web |
| Became Popular | May 20, 2025 | N/A |
| Website | datakit.studio | www.postgresql.org |
Who Should Pick Which?
Choose Datakit if...
- No unique pros listed
Choose PostgreSQL if...
- Reliability
- Performance
- Scalability
With a FactScore™ of 15.1 vs 93.8, PostgreSQL leads in community reception. Datakit uniquely offers No unique pros listed, while PostgreSQL stands out for Reliability and Performance.
What Users Say
Datakit
Just tried DataKit and the experience was amazing! 🚀 What stood out the most for me is how everything runs locally in the browser—no complex setup, no worrying about sending sensitive data to the ...
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, Datakit or PostgreSQL?
Based on FactScore™, PostgreSQL leads with a score of 93.8 vs 15.1. PostgreSQL has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Datakit compared to PostgreSQL?
Datakit uniquely offers: No unique pros listed.
What are the pros of PostgreSQL compared to Datakit?
PostgreSQL uniquely offers: Reliability, Performance, Scalability, Advanced features, Open source.
Is Datakit better rated than PostgreSQL?
Datakit is rated 5.0★ from 1 reviews. PostgreSQL is rated 5.0★ from 74 reviews.
What is the FactScore™ of Datakit and PostgreSQL?
FactScore™ weighs rating and review volume together. Datakit scores 15.1 and PostgreSQL scores 93.8.
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