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What Is an Analytics Database? Definition, Architecture, and Use Cases

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.

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RAG Database: What It Is, Why It Matters, and How to Choose the Right One

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.

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What Is an Edge Database? Why It Matters for Real Time AI and IoT

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.

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What Modern Teams Really Need from an Analytics Database

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.

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Unified Database Explained: A Practical Guide to Modern Data Workloads

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.

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What HTAP Really Solves: Three Pain Points Engineers Hate but Never Talk About

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.

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what is a vector database

What Is a Vector Database? A Practical Introduction to Vector Search

Learn how vector databases and vector embeddings work, and why similarity search is used in modern AI applications.

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Why Immediate Data Freshness Beats Strict Consistency for Real Time Decision Making

Why Immediate Data Freshness Beats Strict Consistency for Real Time Decision Making

Discover why immediate data freshness outperforms strict consistency in real-time decision-making, enabling faster insights and better performance for modern operational systems.

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New Cloud Regions for CrateDB Cloud

CrateDB Cloud Regions for AWS, Azure and GCP

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.

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data historians vs time series databases

Data Historians vs Time Series Databases: What’s the Difference and Which One Do You Need?

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.

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