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.
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.
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.
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.
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.
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.
Building Real-Time IoT Analytics at Scale: Architecture and Lessons Learned
Learn how to build real-time IoT analytics systems that scale. Explore ingestion, high-cardinality data, and database architecture patterns for production IoT workloads.
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.
Why Traditional Columnar Databases Struggle with Real-Time Analytics
Traditional columnar databases excel at batch analytics, but real-time workloads expose architectural limits. Learn why and what real-time columnar systems need.
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.