New release: CrateDB 6.3
CrateDB 6.3 enhances compatibility with SQL and PostgreSQL, unifies object store access, and improves resilience, making integration with third-party tools easier.
CrateDB 6.3 enhances compatibility with SQL and PostgreSQL, unifies object store access, and improves resilience, making integration with third-party tools easier.
Managing billions of IoT events requires a new data architecture. Discover how CrateDB enables real-time analytics for industrial systems.
Traditional databases struggle with the high-velocity, evolving, and high-cardinality data of industrial IoT systems, necessitating new data platforms for real-time analytics.
CrateDB enables high-cardinality IoT analytics, flexible JSON and search, edge-to-cloud IIoT, and unified machine-data observability in one distributed SQL engine.
Discover the best databases for real-time analytics on high-velocity IoT and sensor data, focusing on ingestion, scalability, and AI-ready pipelines.
Context transforms time series data into actionable insights. Discover how integrating metrics with metadata overcomes common analytics challenges and enables real-time, intelligent decision-making.
JSON databases are flexible, but many struggle with real-time analytics. Learn why performance breaks at scale and what real-time JSON analytics requires.
Explore how distributed databases handle real-time analytics workloads, the architectural tradeoffs involved, and what it takes to query fresh data at scale.
Discover how CrateDB excels in high-cardinality time series analytics, offering real-time, flexible, and scalable SQL-based solutions for modern data challenges.
Discover how CrateDB enables SaaS companies to build scalable, real-time analytics backends that handle high data ingestion, complex queries, and multi-tenancy efficiently.