Quadratic is a powerful AI spreadsheet that integrates a familiar interface with Python, SQL, and natural language prompts. Connect directly to live databases, analyze data, extract information from PDFs, and create visualizations instantly. It's a secure, collaborative platform for data analysts, business professionals, and developers.
Raw Query is an AI-powered data assistant that allows you to interact with your database using natural language. Query, add, and update data through a simple chat interface, eliminating the need for complex SQL or custom internal tools. Ideal for developers and business teams to get instant data insights.
Product overview
Quadratic Product overview
Quadratic is a powerful AI spreadsheet that integrates a familiar interface with Python, SQL, and natural language prompts. Connect directly to live databases, analyze data, extract information from PDFs, and create visualizations instantly. It's a secure, collaborative platform for data analysts, business professionals, and developers.
Raw Query Product overview
Raw Query is an AI-powered data assistant that allows you to interact with your database using natural language. Query, add, and update data through a simple chat interface, eliminating the need for complex SQL or custom internal tools. Ideal for developers and business teams to get instant data insights.
Detailed feature comparison
| Feature | Quadratic | Raw Query |
|---|---|---|
| Primary category | Business Intelligence | Business Intelligence |
| Added | 2025-08-16 | 2025-08-13 |
| Pricing | Freemium | Freemium |
| Official website | www.quadratichq.com | rawquery.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 118.5K | 753 |
| Monthly growth | -6.6% | 76.3% |
| Favorites | 112 | 88 |
| Details | View details | View details |
Quadratic vs Raw Query monthly traffic
Compare Quadratic and Raw Query by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Quadratic vs Raw Query monthly traffic comparison, Quadratic currently shows 118.5K visits and Raw Query shows 753; Quadratic has about 157.4 times the visible traffic of Raw Query, an absolute difference of about 117.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Quadratic monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 184.9K Monthly visits
- 2026/1: 177.8K Monthly visits
- 2026/2: 167.5K Monthly visits
- 2026/3: 139.4K Monthly visits
- 2026/4: 126.9K Monthly visits
- 2026/5: 118.5K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 45.71% | 54.2K |
| 🇺🇸United States | 35.84% | 42.5K |
| 🇨🇦Canada | 8.47% | 10K |
| 🇪🇹Ethiopia | 5.16% | 6.1K |
| 🇳🇬Nigeria | 4.82% | 5.7K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 72.25% | 85.6K |
| Referral | 17.35% | 20.6K |
| 10.4% | 12.3K |
Search keywords
Raw Query monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.2K Monthly visits
- 2026/1: 1.5K Monthly visits
- 2026/2: 303 Monthly visits
- 2026/3: 643 Monthly visits
- 2026/4: 427 Monthly visits
- 2026/5: 753 Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 76.32% | 575 |
| 🇺🇸United States | 23.68% | 178 |
Search keywords
Usage comparison
Compare the core capabilities of Quadratic and Raw Query
Quadratic Core features
Raw Query Core features
Use cases
Quadratic Use cases
Raw Query Use cases
Quadratic vs Raw Query:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Quadratic vs Raw Query comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Quadratic is primarily listed under “Business Intelligence”, while Raw Query is primarily listed under “Business Intelligence”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Quadratic: 118.5K; Raw Query: 753); Monthly growth (Quadratic: -6.6%; Raw Query: 76.3%); Favorites (Quadratic: 112; Raw Query: 88); Website (Quadratic: www.quadratichq.com; Raw Query: rawquery.com); Added (Quadratic: 2025-08-16; Raw Query: 2025-08-13). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Quadratic vs Raw Query monthly traffic comparison, Quadratic currently shows 118.5K visits and Raw Query shows 753; Quadratic has about 157.4 times the visible traffic of Raw Query, an absolute difference of about 117.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Quadratic first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Quadratic and Raw Query currently overlap in shared categories: Business Intelligence, Data Analysis, and Database; shared tags: business intelligence, data analysis, database, and SQL. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Quadratic's unique categories/tags are Spreadsheets, AI, data visualization, Excel alternative, financial analysis, Google Sheets alternative, HIPAA, and python; Raw Query's are Chatbot, AI chatbot, data management, developer tools, internal tools, and natural language query. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Quadratic has no verified rating, 0 comments, 112 favorites, and 98 likes;Raw Query has no verified rating, 0 comments, 88 favorites, and 101 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Quadratic first
Put Quadratic on the priority trial list when the task aligns with “Business Intelligence” and especially Spreadsheets, AI, data visualization, Excel alternative, financial analysis, and Google Sheets alternative. This follows recorded positioning and does not imply unlisted capabilities are absent.
Quadratic also currently records: pricing is freemium, product type is website, 118.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Raw Query first
Put Raw Query on the priority trial list when the task aligns with “Business Intelligence” and especially Chatbot, AI chatbot, data management, developer tools, internal tools, and natural language query. This follows recorded positioning and does not imply unlisted capabilities are absent.
Raw Query also currently records: pricing is freemium, product type is website, 753 verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Quadratic and Raw Query, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Quadratic and Raw Query?
Where does this comparison data come from?
What do unknown fields mean?
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