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Remove hardcoded counts
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metadata
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