MSSQL vs Sybase: What are the differences?

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1. Storage: The basic difference between MSSQL and Sybase lies in the way they store data. MSSQL uses row-based storage, while Sybase uses page-based storage. In MSSQL, each row is stored individually, making it easy to retrieve specific pieces of data. On the other hand, Sybase stores data in fixed-size pages, which can impact the performance for certain types of queries.

2. Indexing: In terms of indexing, MSSQL and Sybase differ in their approach. MSSQL uses a B-tree index structure, which allows for efficient searching of data within a table. Sybase, on the other hand, utilizes a hash-based indexing technique, which can be faster for certain types of queries, but may not be as efficient for range queries.

3. Clustering: Another key difference between MSSQL and Sybase is in the way they handle clustering. MSSQL supports clustered indexes, which physically reorganize the data in the table to match the order of the index. In contrast, Sybase does not support clustered indexes but offers the concept of clustered tables, which organize the physical storage of tables in a specific order.

4. Transaction Management: MSSQL and Sybase differ in their transaction management capabilities. MSSQL supports multiple active result sets (MARS), which allows for executing multiple batches on the same connection. Sybase does not have native support for MARS, which can impact the performance of certain applications that require this feature.

5. Data Types: When it comes to data types, MSSQL and Sybase have some differences. MSSQL offers a wider range of data types compared to Sybase, which may be beneficial for applications that require specific data manipulation features. However, Sybase provides better support for large object types like text, image, and unitext.

6. Partitioning: In terms of partitioning capabilities, MSSQL and Sybase have distinct differences. MSSQL supports table and index partitioning, allowing for better management of large datasets. Sybase, on the other hand, has limited partitioning capabilities, which may impact performance and scalability for applications that require extensive data partitioning.

In Summary, the key differences between MSSQL and Sybase include storage mechanisms, indexing techniques, clustering options, transaction management capabilities, supported data types, and partitioning capabilities.