Why Traditional Columnar Databases Struggle with Real-Time Analytics
Traditional columnar databases excel at batch analytics, but real-time workloads expose architectural limits. Learn why and what real-time columnar systems need.
Traditional columnar databases excel at batch analytics, but real-time workloads expose architectural limits. Learn why and what real-time columnar systems need.
Revolutionize your AI strategy by rethinking data integration from ingestion to intelligence. Discover how CrateDB streamlines the process for real-time insights and sustainable innovation.
Overcome AI integration challenges with a unified data platform. Learn how CrateDB simplifies real-time analytics, search, and AI for faster insights and reduced costs.
Achieve competitive advantage with CrateDB by simplifying real-time data processing, enabling instant insights, and operationalizing AI without deep technical expertise.
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.
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.
CrateDB users should upgrade to versions 5.9.9, 5.8.6, or 5.7.6 to prevent potential data loss due to a shard allocation issue.
A multi-model database supports multiple data models in a single system. Learn what it is, why it exists, common use cases, and key trade-offs in modern data architectures.
In this tutorial I want you to show how to interact with Crate using SQLAlchemy. SQLAlchemy is a Python SQL toolkit and Object Relational Mapper.
On 21 Dec a vulnerability was reported to CrateDB regarding authentication that could potentially affect all users. Immediate action has been taken.