White Paper
The Modern Data Stack in 2025
New Tools, Platforms, and Strategies
The digital era demands a new approach to data management. This report provides an in-depth look at the evolving landscape of data architecture and offers actionable insights to build a future-proof data infrastructure.
What you will learn
- Key building blocks of a successful modern data stack, such as the integration of AI and machine learning for enhanced business operations and analytics, the necessity of a cloud-first approach for scalability and security, the imperative for real-time data flow to enable timely decision-making, the significance of intelligent data pipelines and storage, and the drive towards data democratization through self-service access.
- Effective strategies for maintaining operational stability (KTLO) while managing high data ingestion, a fundamental requirement for real-time decision-making and business growth
- Explore how solutions like CrateDB enable high-speed, real-time data processing and analysis without overwhelming infrastructure, ensuring system reliability and reducing downtime risks.
- Practical solutions to common challenges in the modern data stack, including slow data ingestion, query performance bottlenecks, inefficient transformation and processing leading to high cloud costs, unreliable orchestration and pipelines, and inadequate governance and observability for AI readiness and compliance.