---
license: mit
task_categories:
  - tabular-classification
language:
  - en
tags:
  - saas
  - pricing
  - market-analysis
  - software-comparison
  - sqlite
size_categories:
  - n<1K
---

# SaaS Market Intelligence Dataset

331 software products. dozens of categories. Actual pricing data — not estimates.

## Files

| File | Description |
|------|-------------|
| `comparedge_database_schema.sql` | Full DDL. 5 tables, 3 views. Import: `sqlite3 db.sqlite < schema.sql` |
| `SaaS_Pricing_Transparency_Report_Q2_2026.pdf` | Quarterly pricing analysis — category breakdowns, LLM token costs, free tier availability |

## Schema overview

Tables: `categories`, `products`, `pricing_plans`, `features`, `price_history`

Views:
- `v_category_stats` — avg rating, avg price, free tier % per category
- `v_llm_comparison` — LLM products with pricing plan details
- `v_free_tier_products` — all 246 products with perpetual free tiers

## Billing model distribution

Our pipeline classifies each plan into one of four billing models: per-seat (most common in project management and CRM), flat rate (typical for individual tools), usage-based (LLM APIs, cloud hosting), and freemium.

74.3% of tracked products offer a functional free tier. Not a 14-day trial — a permanent plan with real utility.

## Methodology

Pricing scraped from public vendor pages. Where a vendor hides pricing behind "Contact Sales", we record null. Ratings from G2 and Capterra — averaged when both exist, used as-is when only one source is available.

Full SQLite database (864 KB): [Kaggle](https://www.kaggle.com/comparedge/saas-ai-tools-market-2026)