White Paper
What's Ahead in Data Architecture for 2025
Advancing Real-Time Analytics and Hybrid Search: What’s Next for 2025
This white paper examines how the rise of AI is forcing businesses to rethink their data architectures in order to stay ahead of the curve in 2025. The paper dives into three fundamental architecture approaches — centralized, hybrid, and decentralized — and analyzes key trends like AI-powered real-time analytics, multi-model databases for hybrid search, and distributed databases for scalability.
What you will learn
- Why it is important to modernize data architectures to support AI applications and to support better business outcomes.
- Which of the three fundamental data architectures – centralized, hybrid, and decentralized – is suitable for which industry and business need
- What are the key trends for 2025, including the growth of AI-powered real-time analytics, the adoption of multi-model databases for hybrid search, and the rise of distributed databases for scalable real-time analytics.