Apache Kudu
(https://kudu.apache.org) 📸 Data Snapshot: May 27, 2026Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Trust theatre flags are triggered (Score: 8) because the site displays a review_count of 23 on the community page and 1 on the homepage with a proof_links_count of 0 in the metadata. While the text mentions specific names like Curt Monash and Zoomdata, the lack of structured verification links in the metadata triggers the forensic penalty. Additionally, the event and presentation data is extremely stale, with the most recent entries dating back to 2016, creating a significant delta from the May 2026 system date.
Proof density is high but geographically and temporally concentrated. The site lists dozens of named presentations across global cities (Beijing, San Francisco, Tokyo) and specific conference names (Strata Hadoop World, Spark Summit). While the ratio of verifiable technical specs to vague assertions is excellent, the aging nature of this proof suggests a project in maintenance rather than active growth.
Trust & Proof is read by weighing trust language against real verification. Below is the page-by-page tally of review mentions and external proof links, then the schema markup that may (or may not) declare verifiable ratings and identity proof.
🛡️ Trust Signals — reviews, proof links, trust-theatre check
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 1 | 0 |
| /community.html | 23 | 0 |
| /overview.html | 3 | 0 |
| /docs/ | 1 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
This page presents a snapshot of public data from Apache Kudu, captured on May 27, 2026, to show how machine logic reads Trust & Proof signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to Apache Kudu: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://kudu.apache.org to view the most current version of its content and see directly what this company is about and what it offers.