Citus vs Microsoft SQL Server vs Oracle: What are the differences?
# Introduction
In this comparison, we will highlight key differences between Citus, Microsoft SQL Server, and Oracle.
1. **Scalability**: Citus is explicitly designed for scaling out PostgreSQL databases horizontally across multiple nodes, allowing for improved performance with large datasets. Microsoft SQL Server and Oracle also support scalability options, but Citus is specifically tailored for this purpose.
2. **Data Distribution**: Citus automatically distributes data across nodes based on a specified distribution column, whereas Microsoft SQL Server and Oracle require manual partitioning and distribution strategies to achieve similar results.
3. **Query Parallelism**: Citus utilizes parallel query processing techniques to execute queries across distributed nodes, resulting in faster query performance compared to Microsoft SQL Server and Oracle, which may not leverage parallel processing as effectively.
4. **Sharding Strategies**: Citus offers built-in sharding functionality to distribute data across nodes using hash-based or range-based sharding strategies, simplifying the process of sharding data compared to the more manual approaches required by Microsoft SQL Server and Oracle.
5. **Cost**: While Citus is open source and offers a community edition for free, Microsoft SQL Server and Oracle are commercial products that require licensing fees, making Citus a more cost-effective option for those looking to scale their databases without significant financial investment.
In Summary, Citus stands out for its scalability, data distribution, query parallelism, sharding strategies, and cost-effective pricing model compared to Microsoft SQL Server and Oracle.