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what is a vector database

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.

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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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The Best Time Series Databases for Real Time Workloads in 2026

The Best Time Series Databases for Real Time Workloads in 2026

Explore the best time series databases for real time workloads in 2026. Compare InfluxDB, TimescaleDB, ClickHouse, CrateDB, QuestDB, and VictoriaMetrics based on ingestion speed, query performance, scalability, and data model flexibility.

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How to Choose the Right Big Data Database for Real-Time Analytics

How to Choose the Right Big Data Database for Real-Time Analytics

Choose the right big data database for real-time analytics. Compare architectures, vendors, use cases, and essential capabilities for modern data workloads.

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Why IoT Needs a Database Built for Real-Time Analytics at Scale

Why IoT Needs a Database Built for Real-Time Analytics at Scale

Discover why IoT needs databases designed for real-time analytics to handle the unique challenges of high-velocity, time-oriented, and semi-structured data.

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Inside CrateDB’s Real-Time Query Engine: Aggregations, Ad-Hoc Queries, Hybrid Search, and AI

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.

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What Is a Time Series Database (and Why CrateDB Goes Beyond It)

What Is a Time Series Database (and Why CrateDB Goes Beyond It)

A time series database manages data indexed by time, enabling fast analysis of streaming data. Discover how CrateDB combines SQL simplicity, unlimited cardinality, and context enrichment to deliver real-time insights at scale.

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What Is a Columnar Database (and Why It Matters for Real-Time Analytics)

What Is a Columnar Database (and Why It Matters for Real-Time Analytics)

Learn how columnar databases optimize analytical performance and how CrateDB combines columnar speed with real-time ingestion and PostgreSQL simplicity.

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