Automate data documentation and reliability for AI analytics
Buster helps data teams by automatically generating and maintaining documentation for their dbt projects. This makes data more understandable for AI tools, reducing errors and saving time. It also monitors data quality and provides alerts when issues arise.
Automatically generates comprehensive docs for dbt models
Detects data drift and sends alerts for fixes
Provides self-serve analytics with native AI tools
Seamlessly connects with existing dbt projects
Sends notifications for data issues via Slack
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
Buster can be integrated with these apps and services:
Recent data shows that Buster has 6.1K monthly visits (-35.3% decrease from the previous month), 40.0% bounce rate, and average 1.92 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 3 countries worldwide, led by United States contributing 61% of total traffic. SEO performance is shown by 5 tracked keywords, with "buster" being the top-performing keyword with 21.1K monthly searches. See below for more info.
Monthly Visits
6.1K
Pages per Visit
1.92
Bounce Rate
40.0%
Average Time on Site
1m 44s
| SEO Keyword | Volume | CPC |
|---|---|---|
| buster | 21.1K | $1.40 |
| buster结构解析 | 0 | - |
| buster ai | 660 | $2.70 |
| buster analytics | 20 | - |
| buster. so | 20 | - |
| Source | Traffic Share |
|---|---|
| Direct | 45% |
| Search | 39% |
| Social | 7% |
| Referrals | 7% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 61% |
 | 38% |
 | 1% |
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