database

Hybrid Databases

Hybrid databases are database systems that combine features of multiple database models, such as relational (SQL) and non-relational (NoSQL), into a single integrated platform. They aim to provide the structured querying and ACID compliance of traditional databases with the scalability, flexibility, and schema-less design of modern NoSQL systems. This allows developers to handle diverse data types and workloads, like transactional and analytical processing, within one database environment.

Also known as: Multi-model databases, Polystore databases, Hybrid data stores, Converged databases, HTAP databases
🧊Why learn Hybrid Databases?

Developers should learn and use hybrid databases when building applications that require both structured data management (e.g., financial transactions) and unstructured or semi-structured data handling (e.g., user-generated content or IoT sensor data). They are ideal for scenarios where you need to scale horizontally for high-volume operations while maintaining consistency for critical data, such as in e-commerce platforms or real-time analytics systems. This reduces the complexity of managing separate databases and simplifies data integration.

Compare Hybrid Databases

Learning Resources

Related Tools

Alternatives to Hybrid Databases