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Evaluating YugabyteDB

A Comprehensive Assessment of a Distributed SQL Database

for AI-Driven Workloads

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Discover YugabyteDB for AI-Driven Workloads

Generative AI has increased the pressure on modern data infrastructure. Systems must deliver real-time insights, support massive concurrency, and maintain consistency across regions while still providing rock-solid reliability. Traditional databases were not designed for this scale or speed.

Move beyond legacy constraints. Build for what’s next.

YugabyteDB combines the familiarity of PostgreSQL with the resilience, scalability, and cloud-native architecture required by modern AI applications. It provides strong consistency, global performance, and continuous availability.

Find out more in this white paper, “Evaluating YugabyteDB: A Comprehensive Assessment of a Distributed SQL Database for AI-Driven Workloads,” written by Sanjeev Mohan, Principal, SanjMo and Former Gartner Research VP, Data & Analytics.

Download the White Paper

Why Read This Report?

AI-driven applications expose the weaknesses of traditional databases. This white paper gives CTOs, architects, and developers a clear, structured framework to evaluate whether their data infrastructure is ready for modern, intelligent workloads.

Discover how YugabyteDB powers high-performance, globally distributed, AI-ready applications and choose a data foundation built for next generation applications.

What You'll Learn About YugabyteDB

  • AI and Data Model Foundations
    How YugabyteDB supports relational, document, streaming, and vector embedding workloads (pgvector) to power modern RAG and GenAI architectures.

  • Architecture and Consistency
    Why a shared-nothing, Raft-based design delivers linearizable consistency and strong transactional guarantees across globally distributed deployments.

  • Elastic Scalability
    How compute and storage scale independently, enabling automated horizontal growth without downtime, even during unpredictable AI-driven traffic spikes.

  • Availability and Operations
    Built-in fault tolerance, zero-downtime maintenance, and advanced disaster recovery capabilities such as Point-in-Time Recovery (PITR) for mission-critical workloads.

  • Governance, Security and Observability
    Keep sensitive data protected, from Row-Level Security and encryption to comprehensive audit logging and enterprise-grade controls for AI-era access patterns.

  • Ecosystem and Economics
    The advantages of PostgreSQL compatibility, seamless ecosystem integration, 100% open-source software, and transparent consumption-based pricing that avoids vendor lock-in

  • Plus much more!

 

Download the full white paper today!

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