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.
Unify real-time analytics with CrateDB for modern data architectures, improving speed and scalability across lakehouse, data mesh, and data fabric models.
Discover how CrateDB achieves low latency and real-time performance for massive datasets, enabling fast decision-making in data-driven applications.
Optimizing high data ingestion is crucial for operational stability and growth. Learn how CrateDB ensures seamless real-time processing in modern business environments.
Discover how CrateDB unifies multi-model data handling for real-time, AI-powered analytics and simplifies complex data management in one platform. CrateDB revolutionizes AI-driven analytics by unifying multi-model data handling, enabling real-time operational and AI workloads in a single, scalable database platform.
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.
Transform high-velocity data into real-time insights and actions with CrateDB's powerful ingestion and processing engine, tailored for modern intelligent applications.
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.
Join us for an exclusive hands-on workshop in Munich designed for Data Engineers, Data Architects, and Software Engineers to explore the cutting-edge advancements in data analytics and AI with CrateDB and AWS.
Learn how to connect CrateDB and Crosser for efficient real-time industrial data integration and analytics.
Optimize your data ecosystem with Shared Nothing Architecture and multi-model databases for scalable, fault-tolerant, and flexible real-time analytics without major infrastructure changes.