What Is an Analytics Database? Definition, Architecture, and Use Cases
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.
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.
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.
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.
Analytics needs are evolving. Discover why modern teams rely on analytics databases for real time, operational, and scalable insights.
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.
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.
Learn how vector databases and vector embeddings work, and why similarity search is used in modern AI applications.
Discover why immediate data freshness outperforms strict consistency in real-time decision-making, enabling faster insights and better performance for modern operational systems.
Explore CrateDB Cloud's availability across AWS, Azure, and GCP regions, and learn how your feedback can influence future expansions. Deploy your free cluster today.
Understand the difference between a data historian and a time series database. Compare architectures, use cases, scalability, and when to use each. Learn why modern industrial and IoT teams often combine both — and how CrateDB fits into a unified data stack.