Unified Analytics with CrateDB: Real-Time Speed for Modern Data Architectures
Unify real-time analytics with CrateDB for modern data architectures, improving speed and scalability across lakehouse, data mesh, and data fabric models.
Future-Proofing Your Data Infrastructure: Real‑Time, Scalable, and AI-Ready
Future-proof your data infrastructure with real-time analytics, scalable solutions, and AI-ready databases to extract instant, actionable insights and support diverse data models.
New Database Technologies and Strategies for the AI Era
Explore new database technologies and strategies essential for thriving in the AI era, focusing on real-time analytics, hybrid data support, and AI-native features.
Building a Solid Data Backbone for Real-Time AI Success - The New Data Paradigm
Discover how CrateDB enables real-time AI success by seamlessly integrating diverse data sources and maintaining fast query responses at any scale.
Video announcement with Google Cloud!
Discover how CrateDB and Google Cloud simplify real-time analytics and AI projects with a powerful, multi-model distributed database. Unleash smarter AI apps faster.
Unifying Data for Real-Time AI
Discover how multi-model databases like CrateDB revolutionize real-time AI by integrating structured, semi-structured, and time-series data, enabling faster, cost-effective decision-making.
Dissecting a Hybrid Search query in SQL
Explore the intricacies of Hybrid Search queries in SQL, delving into Common Table Expressions (CTEs) and query normalization techniques for optimal results. Gain insights into crafting powerful hybrid search queries efficiently.
Revolutionizing Supply Chain Operations with Data-Driven Logistics
Learn how to revolutionize supply chain operations with data-driven logistics through digitalization and AI.
Highlights of the Data Innovation Summit 2024, Stockholm April 24-25th
Discover the highlights of the Data Innovation Summit 2024 in Stockholm. Read about insightful talks, workshops, and live demos & more.
Data Challenges in Machine Learning and AI: An Interview with Machine Learning Reply
Discover key data challenges in Machine Learning and AI projects in this interview with Reply and strategies to tackle data quality, privacy, and more.