IoT Analytics: Turning Real Time Device Data into Actionable Insights
Learn what IoT analytics is, why it matters, key use cases, architecture patterns, and how to analyze real time IoT data at scale.
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.
Real-Time Data Processing: What It Is, Why It Matters, and How Modern Systems Make It Possible
Real-time data processing enables systems to ingest, analyze, and act on data as it arrives. Learn how it works, key use cases, and how modern architectures support low-latency analytics at scale.
What Is an Analytics Database and Why Modern Analytics Depends on It
An analytics database enables fast, scalable analysis of large datasets. Learn how analytics databases work, key use cases, and what to look for in modern data architectures.
RAG Database: What It Is, Why It Matters, and How to Choose the Right One
What is a RAG database? Learn how retrieval-augmented generation works, why traditional databases fall short, and what to look for in a RAG-ready data platform.
What Is an Edge Database? Why It Matters for Real Time AI and IoT
Learn what an edge database is, why it matters for IoT and real time AI, how it fits into modern architectures, and how CrateDB delivers edge intelligence.
What Modern Teams Really Need from an Analytics Database
Analytics needs are evolving. Discover why modern teams rely on analytics databases for real time, operational, and scalable insights.
Unified Database Explained: A Practical Guide to Modern Data Workloads
Explore how a unified database approach simplifies modern data architectures by handling time series, geospatial, JSON, vectors, logs, and AI workloads in one system. Learn how CrateDB reduces complexity and delivers real time analytics at scale.
What HTAP Really Solves: Three Pain Points Engineers Hate but Never Talk About
Discover the real engineering challenges HTAP solves, from ingestion delays to reindexing pain and workload isolation. Learn how unified engines like CrateDB simplify real time data.
What Is a Vector Database and Why It Matters for Modern AI
Discover how vector databases revolutionize AI by enabling semantic search and real-time analytics, and learn how CrateDB integrates these capabilities for modern AI applications.