NTT DATA 4.7/5 with 191 Ratings: What Does the Volume Tell You?

In the world of enterprise consulting, vendor rankings and reviews guide many critical decisions for CIOs and DevOps leaders looking ahead to 2026 and beyond. One name that consistently appears is NTT DATA. With a strong rating of 4.7 out of 5 based on 191 ratings, NTT DATA stands out—but what does that volume of feedback really tell you? Is it enough to trust their claims, especially regarding their Snowflake expertise, AI readiness, and compliance posture?

We’ll explore how NTT DATA’s ratings stack up alongside peers like Cognizant and STX Next, highlight what to verify on platforms like Clutch and G2, and dive deep into critical factors such as partner tier status, SnowPro certification counts, security readiness, and AI enablement through Snowflake’s Snowpark and Snowpark ML.

Why Ratings and Volume Matter for Enterprise Consulting Reviews

When evaluating vendors, scores alone are insufficient. The volume of ratings plays a crucial role in determining how reliable a score might be. A 4.7/5 rating based on 191 ratings suggests more data points than niche vendors with a handful of reviews, increasing confidence that the rating reflects a broader client experience.

• Scale: 191 ratings is a significant volume in enterprise consulting, indicating multiple engagements across industries and geographies.
• Consistency: A high score at scale suggests consistent delivery and client satisfaction rather than isolated successes.
• Bias Reduction: More reviews dilute outliers and reduce the risk of skew from a few overly positive or negative clients.

That said, before taking any vendor’s rating as gospel, cross-verification on independent platforms like Clutch or G2 is essential. Look for patterns: the range of project sizes, industries served, and feedback specifics that align with your own compliance or project scope needs.

NTT DATA’s Competitive Position: NTT DATA vs Cognizant vs STX Next

Vendor Rating (out of 5) Number of Ratings Focus Areas Partner Tier & SnowPro Counts NTT DATA 4.7 191 Enterprise consulting, AI enablement, Snowflake integration Elite Partner; 150+ SnowPro certified consultants Cognizant 4.5 220 Digital transformation, AI, cloud migrations Premier Partner; 120+ SnowPro certified consultants STX Next 4.1 85 Custom software, Python development, cloud consulting Advanced Partner; 40+ SnowPro certified consultants

NTT DATA's position as an Elite Partner with over 150 certified SnowPro consultants further solidifies its expertise in Snowflake implementations. In contrast, Cognizant, with a slightly lower but still strong rating, focuses heavily on digital transformation and AI, boasting a robust cadre of certified consultants. STX Next—while valuable for specialized software and cloud consulting—has a smaller presence reflected in its ratings and SnowPro counts.

Understanding Partner Tiers and SnowPro Certification Counts

Vendor claims around partner tiers and SnowPro certifications matter a lot. Snowpro certifications are professional credentials from Snowflake that show real, hands-on skills with the platform, from fundamentals up to Snowpark (Snowflake’s developer framework) and data engineering.

When vendors claim “Elite Partner” or “Premier Partner” status through Snowflake, verify it directly on Snowflake’s partner page or ask for details on certified consultant counts. High numbers mean better access to Snowflake’s resources, including pre-release product betas and dedicated support.

• SnowPro Fundamentals: Indicates foundational Snowflake knowledge.
• SnowPro Advanced Architect/Data Engineer: Shows ability to design and implement solutions.
• Snowpark and Snowpark ML Expertise: Critical for customers planning AI and machine learning projects inside Snowflake.

NTT DATA’s investment in these certifications, especially around Snowpark and Snowpark ML, is a strong positive. Vendors without these credentials may lag on AI-ready Snowflake modernization projects.

Security and Compliance Readiness: Non-Negotiable for Enterprise Buyers

One of the most frequent pitfalls in consulting projects is discovering compliance gaps or weak governance frameworks late in the engagement. Vendors like NTT DATA often highlight their ISO, SOC 2, HIPAA, or FedRAMP credentials—proof points you must validate early.

Ask your vendor for:

1. Recent third-party audit reports.
2. Evidence of continuous monitoring and penetration testing.
3. How they handle data residency and sensitive data for your industry.
4. Their approach to integrating security into CI/CD pipelines and DevSecOps practices.

NTT DATA’s scale means they typically operate at or above enterprise compliance standards, a must-have for regulated industries. Comparatively, smaller firms like STX Next may excel technically but devopsschool.com may require additional diligence when it comes to embedded compliance practices.

AI Enablement on Snowflake: Leveraging Snowpark and Snowpark ML

“AI-ready” buzzwords won’t cut it without technical evidence. Snowflake’s Snowpark and Snowpark ML are increasingly central to modern data strategies, allowing organizations to build, train, and deploy AI models inside the Snowflake ecosystem, reducing data movement and streamlining innovation.

Here’s what you need to check when your vendor claims AI enablement capabilities:

• Do they have real experience building Snowpark-powered pipelines or data applications?
• Can they showcase projects leveraging Snowpark ML for in-place model training and inference?
• Are they knowledgeable about integrating Snowflake Cortex (where applicable) to operationalize ML workflows securely?
• How do they assist clients in democratizing AI across lines of business using Snowflake?

NTT DATA's public references and certification emphasis on these capabilities build trust about their maturity in AI for Snowflake. By contrast, some vendors advertise “AI-ready” while teams internally lack Snowpark skills or hands-on Cortex project experience.

Final Thoughts: What Does 191 Ratings Mean for Your Vendor Selection?

In 2026, enterprise consulting buyers need:

• Verified partner tiers and SnowPro counts: Indicators of trustworthy technical capability.
• Strong security and compliance: Embedded from day one, not late add-ons.
• Concrete AI enablement expertise: Real Snowpark and Snowpark ML project experience, not vague promises.
• Substantial and stable client feedback volumes: To ensure ratings are meaningful.

NTT DATA’s 4.7 rating across 191 verified ratings signals broad customer satisfaction and positions them competitively alongside Cognizant for large-scale Snowflake and AI projects. STX Next remains a valuable niche contender but with a smaller footprint.

Before finalizing your next consulting partner, verify ratings on platforms like Clutch or G2, confirm certifications directly with Snowflake, and request detailed compliance documentation. Only then can you confidently partner with vendors who will deliver on 2026’s toughest enterprise data challenges.