Edge Analytics for Industrial IoT
Learn why cloud-only analytics fails at the factory floor and how CrateDB's edge deployment handles OT/IT separation, DACH data sovereignty requirements, and sub-second query latency on live sensor data.
Data Historian vs. Time Series Database: Which Belongs in Your Industrial Stack
Compare data historians and time series databases on OT connectivity, query language, and analytics depth. Learn why most industrial stacks benefit from both.
My AI Predictions for 2026: From Hype Cycle Reset to Structural Transformation
AI in 2026 will move beyond hype toward consolidation, cost efficiency, and real business impact. Explore key predictions shaping the next phase of artificial intelligence.
Inside CrateDB’s Real-Time Query Engine: Aggregations, Ad-Hoc Queries, Hybrid Search, and AI
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.
The Real-Time SaaS Stack: How Modern SaaS Products Build Instant Insights
Discover how modern SaaS platforms leverage real-time analytics to enhance user experience, optimize operations, and gain a competitive edge.
Inside CrateDB: How Storage Optimization Powers Real-Time Analytics at Scale
Discover how CrateDB’s Lucene-based storage optimizes real-time analytics, enabling efficient, scalable, and adaptive data management for continuous insights.
From Batch to Real-Time: When It’s Time to Move Beyond Data Warehouses and Lakes
Discover how moving beyond traditional data warehouses and lakes to real-time databases like CrateDB can revolutionize decision-making and operational efficiency.
Powering Real-Time Streaming Analytics with CrateDB and Apache Flink
Learn how Apache Flink and CrateDB enable real-time streaming analytics for modern, scalable data architectures, powering instant insights and seamless data integration.
Integrating Real-Time Databases into Modern Data Architectures
Explore how real-time databases integrate into modern data architectures, enhancing agility, operational insights, and AI-driven decision-making.
Why Real-Time Analytics Is the Missing Layer for AI Readiness
Discover how real-time analytics is the essential layer for AI readiness, enabling instant data processing and actionable insights for enterprises.