CrateDB & Crosser.io - How to connect
Learn how to connect CrateDB and Crosser for efficient real-time industrial data integration and analytics.
Leveraging Shared Nothing Architecture and Multi-Model Databases for Scalable Real-Time 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.
CrateDB v5.10 Release: 50% storage space reduction and fast outer joins
CrateDB v5.10 introduces Distributed Hash Joins for faster query execution and a new storage format that reduces disk space usage by up to 50%, improving real-time analytics and cutting infrastructure costs.
How CrateDB Minimizes Data Footprints Without Compromising Performance
Optimize storage costs with CrateDB v5.10's new table storage format, reducing data footprint by up to 50% while maintaining high performance and analytical capabilities.
Scalable IIoT Data Management and Real-Time Insights
Unlock real-time insights and optimize industrial processes with the powerful integration of Coreflux and CrateDB for scalable IIoT data management.
Announcing MongoDB CDC Integration (Public Preview) in CrateDB Cloud
We are excited to share that CrateDB Cloud now supports MongoDB CDC integration, enabling you to stream real-time changes into CrateDB - no ETL, no delays.
CrateDB Advisory #17278
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.
Which Database for Digital Twin Projects?
Discover why CrateDB is the ideal database for digital twin projects, offering scalability, performance, and seamless data integration.
Are You Prepared for DORA Regulations?
Ensure your financial institution meets DORA compliance with CrateDB’s real-time analytics, scalable architecture, and seamless integration for robust operational resilience.
Making a Production-Ready AI Knowledge Assistant
Creating a production-ready AI Knowledge Assistant involves rigorous testing, data compliance, and continuous monitoring to ensure reliability, accuracy, and cost-effectiveness.