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RateBud uses advanced AI to analyze review patterns, language authenticity, timing anomalies, and content quality. We examine reviewer behavior, review velocity, and linguistic markers to detect fake reviews with high accuracy.

What does the trust score mean?

The trust score is a percentage from 0-100% indicating review authenticity. This product scored 90% (Grade A). Scores above 80% indicate highly trustworthy reviews, 60-79% are generally reliable, and below 60% suggest caution.

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Name: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Brand: Designing
SKU: 1449373321
Price: 26.39 EUR
Availability: InStock
Rating: 4.7 (5258 reviews)

4.7(5,258 reviews)

AI-powered analysis of this product's reviews to help you make an informed purchase decision.

Last analyzed: November 28, 2025

0%🟢

Excellent

Trust Score

How trustworthy are the reviews for this product?

✓ Reviews appear trustworthy

Analysis Summary

Analysis is 51.3 days old. Re-run to get the latest review data and insights.

This book, "Designing Data-Intensive Applications," has received overwhelmingly positive reviews from 11 reviewers, with a 4.7/5 rating and an overall score of 90/100. The high review velocity and credibility of the reviewers suggest that the book is well-regarded by experts in the field. However, the relatively low review content quality score may indicate that some reviews lack specific details or insights, which could be a concern for potential buyers seeking in-depth information.

Review Timeline

Review patterns over time - spikes may indicate manipulation

95%

Velocity Score

Spikes

None found

Peak

Reviews/mo

Timeline

Months

Pattern Analysis

Good: Review pattern appears natural with steady growth. No suspicious spikes that might indicate review manipulation.

Keyword Analysis

Common phrases and their authenticity patterns

69%

Authenticity

big data/distributed systems people(5)designing data-intensive software applications(8)

Positive

Natural phrases

Critical

Genuine concerns

Suspicious

Generic phrases

Language Authenticity

Vocabulary Diversity100%

Natural Language Flow97%

Unique Phrasing96%

Good: Language patterns appear natural with good diversity. Reviews use varied vocabulary and authentic expressions.

Recommendation

✅ Recommended

Analysis Date

November 28, 2025

Total Reviews

5,258 reviews analyzed

Understanding This Trust Score

Designing Data-Intensive Applications: The Big Ideas Behind ... received a Grade A with a trust score of 90/100. This product has earned our highest trust rating. The review patterns show authentic customer feedback with natural language variation, consistent timing, and verified purchases. You can shop with confidence.

What This Means:

•Reviews show natural language diversity
•No suspicious timing patterns detected
•High percentage of verified purchases
•Review velocity matches expected sales patterns

What Reviewers Are Saying

Based on our analysis of customer reviews for Designing Data-Intensive Applications: The Big Ide..., here are the most common themes and opinions shared by verified buyers:

Overall sentiment: This book, "Designing Data-Intensive Applications," has received overwhelmingly positive reviews from 11 reviewers, with a 4.7/5 rating and an overall score of 90/100. The high review velocity and credibility of the reviewers suggest that the book is well-regarded by experts in the field. However, the relatively low review content quality score may indicate that some reviews lack specific details or insights, which could be a concern for potential buyers seeking in-depth information.

Frequently Asked Questions

Are the reviews for Designing Data-Intensive Applications: T... real?

▼

Based on our AI analysis, approximately 90% of reviews appear authentic, while 10% show patterns consistent with potentially fake or incentivized reviews. Overall, you can trust most reviews for this product.

How does RateBud detect fake reviews?

▼

Our AI analyzes multiple factors including review timing patterns, language similarity, reviewer history, and purchase verification. For this product, we analyzed 5,258 reviews to calculate the trust score.

Should I buy Designing Data-Intensive Applications: T...?

▼

Based on our analysis, this product has trustworthy reviews and appears to be a safe purchase. The A grade indicates excellent review authenticity.

Shopping Tips

This product has 5,258 reviews with a Grade A trust score. Here's what to keep in mind:

💡Always prioritize verified purchase reviews over unverified ones
💡Look for detailed reviews that mention specific pros and cons
💡Be cautious of products with sudden spikes in positive reviews

Ready to make your purchase?

Based on our analysis, you can make an informed decision. Click below to purchase this product on Amazon.

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Grade ADesigning Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems