--- title: "How does scalability differ between NoSQL and relational databases?" description: "How does scalability differ between NoSQL and relational databases?" author: "Revati S Misra" published: 2023-04-27 updated: 2023-04-27 canonical: https://www.mindstick.com/forum/158031/how-does-scalability-differ-between-nosql-and-relational-databases category: "database" tags: ["database", "relational database", "nosql"] reading_time: 2 minutes --- # How does scalability differ between NoSQL and relational databases? How does [scalability differ](https://www.mindstick.com/forum/160340/how-does-horizontal-scalability-differ-in-nosql-databases-compared-to-traditional-sql-databases) between [NoSQL](https://www.mindstick.com/articles/12053/big-data-nosql-data-stores) and [relational databases](https://www.mindstick.com/forum/161106/what-are-the-advantages-of-using-mongodb-over-traditional-relational-databases)? ## Replies ### Reply by Aryan Kumar [Scalability](https://www.mindstick.com/blog/140/performance-and-scalability-characteristics-of-mysql) differs between NoSQL and [relational](https://www.mindstick.com/blog/10885/equality-relational-and-conditional-operators) [databases](https://www.mindstick.com/startup/34/airbyte-the-open-source-platform-simplifying-data-integration-for-warehouses-lakes-and-databases) in several ways. In general, NoSQL databases are designed to be more scalable than relational databases, especially when it comes to handling large amounts of unstructured or semi-structured data. Here are some ways in which the scalability of NoSQL and relational databases differs: 1. **Data model:** NoSQL databases are designed to handle unstructured and semi-structured data, which makes them more flexible and easier to scale horizontally. In contrast, relational databases are based on a fixed schema and are optimized for handling structured data. This can make it more difficult to scale a relational database horizontally as the data model becomes more complex. 2. **Scalability model:** NoSQL databases are typically designed to scale horizontally, meaning that additional nodes can be added to the cluster as needed to handle increased load. Relational databases, on the other hand, are typically scaled vertically by adding more powerful hardware to the existing server. 3. **Distributed architecture:** NoSQL databases are often designed to be distributed from the ground up, with data partitioned across multiple nodes in a cluster. This allows for greater scalability and availability, as well as better fault tolerance. In contrast, relational databases are typically centralized, with all data stored on a single server or a cluster of servers. 4. **Performance:** NoSQL databases are optimized for high-performance reads and writes, which makes them well-suited for applications that require low latency and high throughput. Relational databases, on the other hand, can suffer from performance issues when handling large amounts of data, especially when the data is complex and requires many joins or queries. Overall, NoSQL databases are generally better suited for handling large, complex, and unstructured data sets, while relational databases are better suited for handling structured data and complex queries. However, the choice between NoSQL and relational databases ultimately depends on the specific needs of your application and the trade-offs between scalability, performance, and data consistency that are acceptable for your use case. --- Original Source: https://www.mindstick.com/forum/158031/how-does-scalability-differ-between-nosql-and-relational-databases Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.