The IoT Database Built for Real Time Analytics at Scale
Learn what an IoT database should deliver for operational analytics, why traditional systems fall short, and how CrateDB helps organizations unlock value from fast growing sensor data.
Learn what an IoT database should deliver for operational analytics, why traditional systems fall short, and how CrateDB helps organizations unlock value from fast growing sensor data.
Discover how CrateDB’s real-time query engine delivers instant insights with powerful capabilities like aggregations, ad-hoc queries, hybrid search, and AI features, all using standard SQL.
A time series database manages data indexed by time, enabling fast analysis of streaming data. Discover how CrateDB combines SQL simplicity, unlimited cardinality, and context enrichment to deliver real-time insights at scale.
Learn how columnar databases optimize analytical performance and how CrateDB combines columnar speed with real-time ingestion and PostgreSQL simplicity.
Discover how modern SaaS platforms leverage real-time analytics to enhance user experience, optimize operations, and gain a competitive edge.
Discover how CrateDB enables real-time analytics and AI at the edge, enhancing operational efficiency and reducing costs across various industries.
Discover how CrateDB’s Lucene-based storage optimizes real-time analytics, enabling efficient, scalable, and adaptive data management for continuous insights.
Discover how moving beyond traditional data warehouses and lakes to real-time databases like CrateDB can revolutionize decision-making and operational efficiency.
Learn how Apache Flink and CrateDB enable real-time streaming analytics for modern, scalable data architectures, powering instant insights and seamless data integration.
Explore how real-time databases integrate into modern data architectures, enhancing agility, operational insights, and AI-driven decision-making.