AITable.ai is a visual, AI-powered database and workflow automation platform. It combines a spreadsheet-like interface with robust database capabilities, allowing users to organize any data, automate repetitive tasks, and build custom AI agents. It integrates with over 6,000 apps via platforms like Zapier and Make, making it a powerful no-code solution for CRM, project management, and business operations.
DHTMLX is a comprehensive JavaScript UI library for building feature-rich, high-performance web applications. It offers a wide range of customizable components, including Gantt charts, schedulers, grids, diagrams, and a new AI chatbot widget, compatible with any LLM.
Product overview
AITable.ai Product overview
AITable.ai is a visual, AI-powered database and workflow automation platform. It combines a spreadsheet-like interface with robust database capabilities, allowing users to organize any data, automate repetitive tasks, and build custom AI agents. It integrates with over 6,000 apps via platforms like Zapier and Make, making it a powerful no-code solution for CRM, project management, and business operations.
DHTMLX Product overview
DHTMLX is a comprehensive JavaScript UI library for building feature-rich, high-performance web applications. It offers a wide range of customizable components, including Gantt charts, schedulers, grids, diagrams, and a new AI chatbot widget, compatible with any LLM.
Detailed feature comparison
| Feature | AITable.ai | DHTMLX |
|---|---|---|
| Primary category | Crm | Data Visualization |
| Added | 2025-08-12 | 2025-08-04 |
| Pricing | Freemium | Freemium |
| Official website | aitable.ai | dhtmlx.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 60.9K | 92.1K |
| Monthly growth | 1.2% | 18.8% |
| Favorites | 97 | 134 |
| Details | View details | View details |
AITable.ai vs DHTMLX monthly traffic
Compare AITable.ai and DHTMLX by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the AITable.ai vs DHTMLX monthly traffic comparison, AITable.ai currently shows 60.9K visits and DHTMLX shows 92.1K; DHTMLX has about 1.5 times the visible traffic of AITable.ai, an absolute difference of about 31.3K 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.
AITable.ai monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 67.5K Monthly visits
- 2026/1: 78.6K Monthly visits
- 2026/2: 62.1K Monthly visits
- 2026/3: 63K Monthly visits
- 2026/4: 60.1K Monthly visits
- 2026/5: 60.9K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 31.12% | 18.9K |
| 🇮🇩Indonesia | 30.98% | 18.9K |
| 🇨🇦Canada | 23.55% | 14.3K |
| 🇬🇧United Kingdom | 7.59% | 4.6K |
| 🇧🇷Brazil | 6.76% | 4.1K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 85.85% | 52.2K |
| Referral | 9.14% | 5.6K |
| 5.01% | 3K |
Search keywords
DHTMLX monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 107.9K Monthly visits
- 2026/1: 103.6K Monthly visits
- 2026/2: 96.8K Monthly visits
- 2026/3: 95.8K Monthly visits
- 2026/4: 77.5K Monthly visits
- 2026/5: 92.1K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇱🇻Latvia | 30.33% | 27.9K |
| 🇻🇳Vietnam | 24.54% | 22.6K |
| 🇨🇳China | 17.7% | 16.3K |
| 🇬🇧United Kingdom | 15.55% | 14.3K |
| 🇮🇳India | 11.88% | 10.9K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 80.78% | 74.4K |
| Referral | 19.22% | 17.7K |
Search keywords
Usage comparison
Compare the core capabilities of AITable.ai and DHTMLX
AITable.ai Core features
DHTMLX Core features
Use cases
AITable.ai Use cases
DHTMLX Use cases
AITable.ai vs DHTMLX:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth AITable.ai vs DHTMLX comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. AITable.ai is primarily listed under “Crm”, while DHTMLX is primarily listed under “Data Visualization”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (AITable.ai: Crm; DHTMLX: Data Visualization); Monthly visits (AITable.ai: 60.9K; DHTMLX: 92.1K); Monthly growth (AITable.ai: 1.2%; DHTMLX: 18.8%); Favorites (AITable.ai: 97; DHTMLX: 134); Website (AITable.ai: aitable.ai; DHTMLX: dhtmlx.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the AITable.ai vs DHTMLX monthly traffic comparison, AITable.ai currently shows 60.9K visits and DHTMLX shows 92.1K; DHTMLX has about 1.5 times the visible traffic of AITable.ai, an absolute difference of about 31.3K 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 DHTMLX 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
AITable.ai and DHTMLX currently overlap in shared categories: Project Management; shared tags: AI chatbot and project management. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
AITable.ai's unique categories/tags are Crm, Automation, Databases, Airtable alternative, automation, CRM, database, and data management; DHTMLX's are Data Visualization, Ui Frameworks, angular, data grid, frontend, Gantt chart, JavaScript library, and react. 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
AITable.ai has no verified rating, 0 comments, 97 favorites, and 111 likes;DHTMLX has no verified rating, 0 comments, 134 favorites, and 131 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate AITable.ai first
Put AITable.ai on the priority trial list when the task aligns with “Crm” and especially Crm, Automation, Databases, Airtable alternative, automation, and CRM. This follows recorded positioning and does not imply unlisted capabilities are absent.
AITable.ai also currently records: pricing is freemium, product type is website, 60.9K 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 DHTMLX first
Put DHTMLX on the priority trial list when the task aligns with “Data Visualization” and especially Data Visualization, Ui Frameworks, angular, data grid, frontend, and Gantt chart. This follows recorded positioning and does not imply unlisted capabilities are absent.
DHTMLX also currently records: pricing is freemium, product type is website, 92.1K 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 AITable.ai and DHTMLX, 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.




