The Database Zoo: Exotic Data Storage Engines
The article discusses the evolution of data storage solutions, highlighting the emergence of specialized databases alongside traditional relational and NoSQL systems. It emphasizes the need for these specialized systems to address unique workloads and data types that general-purpose databases may not efficiently handle. The series aims to explore various exotic data storage engines, their design choices, and real-world applications.
- ▪The landscape of data has dramatically changed over the past two decades with the introduction of new formats such as metrics, logs, and geospatial data.
- ▪Specialized databases are designed for specific types of data and workloads, complementing general-purpose databases.
- ▪The series will cover the history and architecture of SQL and NoSQL systems to provide context for the emergence of specialized databases.
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The Database Zoo: Exotic Data Storage Engines Fri Sep 19 2025 • database zoo databases Introduction / Context Over the past two decades, the landscape of data has changed dramatically. Traditional business records and transactional data have been joined by an explosion of new formats: Metrics and logs from monitoring systems and IoT devices. Embeddings and high-dimensional vectors powering modern machine learning and recommendation engines. Social graphs capturing billions of relationships between users, products, or events. Event streams representing continuous flows of transactions, sensor readings, and interactions. Geospatial data from GPS devices, maps, and location-aware applications. This diversity of data types has created new challenges for engineers.
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