Microsoft SQL Server vs Tokudb: What are the differences?
**Introduction:**
When comparing Microsoft SQL Server with Tokudb, several key differences become apparent. These differences include performance, storage engine, data consistency, scalability, indexing, and licensing.
**1. Performance:** Microsoft SQL Server is a traditional relational database that excels in transactional processing, while Tokudb is a storage engine optimized for high-write workloads. This makes Tokudb a better choice for applications that require a high level of write operations.
**2. Storage Engine:** Microsoft SQL Server uses the B-tree data structure for indexing, whereas Tokudb utilizes fractal tree indexing. Fractal tree indexing offers better performance for heavy write workloads as it reduces write amplification and improves disk space utilization.
**3. Data Consistency:** Microsoft SQL Server offers strong consistency guarantees, while Tokudb sacrifices some consistency for higher performance. Tokudb achieves this by relaxing ACID properties, making it suitable for applications where eventual consistency is acceptable.
**4. Scalability:** Microsoft SQL Server is known for its vertical scalability, meaning it can handle increased workload by upgrading the hardware. On the other hand, Tokudb excels in horizontal scalability by distributing data across multiple nodes, allowing for better scalability in distributed environments.
**5. Indexing:** Microsoft SQL Server offers a variety of indexing options such as clustered, non-clustered, and columnstore indexes. Tokudb, on the other hand, primarily relies on fractal tree indexing for efficient data retrieval and storage.
**6. Licensing:** Microsoft SQL Server follows a traditional commercial licensing model, where users need to purchase licenses based on the number of cores or users. Tokudb, being an open-source storage engine for MySQL, is available under the GNU General Public License (GPL) with no additional licensing costs.
In Summary, the key differences between Microsoft SQL Server and Tokudb lie in their performance focus, storage engine usage, approach to data consistency, scalability options, indexing methods, and licensing models.
