Tables are the primary objects that store data in rows and columns in SQL Server. They play a crucial role in database management systems (DBMS) and offer various features to improve performance and extend functionality.

In this article, we will explore different types of tables in SQL Server and compare them to their counterparts in Oracle. It’s important to note that these comparisons are based on the current understanding and may vary as both Oracle and SQL Server evolve with new versions.

Heap-organized table vs Heap

In Oracle, a Heap-organized table is called a “Heap” in SQL Server. This type of table stores data without any specific order. It is useful for scenarios where data retrieval doesn’t require a specific sorting or indexing.

Clustered table vs Indexed Views

Oracle’s “Clustered” tables are referred to as “Indexed Views” in SQL Server. These tables store data physically sorted in a specific order based on one or more columns. Indexed Views can improve query performance by pre-computing and storing the results of complex queries.

Partition table vs Partitioned table

Both Oracle and SQL Server offer partitioned tables to improve manageability and performance. Partitioning involves dividing a large table into smaller, more manageable pieces called partitions. Each partition can be stored and accessed independently, allowing for faster data retrieval and maintenance operations.

Temporary table vs Temporary table

Both Oracle and SQL Server support temporary tables, which are used to store temporary data during a session or a transaction. Temporary tables are useful for scenarios where you need to store intermediate results or perform complex calculations.

External table vs Linked server

Oracle’s “External” tables are referred to as “Linked Servers” in SQL Server. Linked servers allow SQL Server to access data from external data sources, such as other database systems or file systems. This feature enables seamless integration and querying of data from multiple sources.

Object table vs Table type

Oracle’s “Object” table is called a “Table Type” in SQL Server. Table types are user-defined data types that can be used as parameters in stored procedures or functions. They provide a way to define a structured data format and pass it as a parameter to a SQL Server object.

Index-organized table vs Clustered index

Oracle’s “Index-organized” tables are referred to as a “Clustered index” in SQL Server. A clustered index determines the physical order of data in a table. It is particularly useful for improving query performance when searching or sorting data based on the indexed column(s).

In-Memory OLTP table vs N/A

SQL Server has a feature called In-Memory OLTP, which allows you to store and process data in memory for faster access. Oracle does not have an equivalent term for this feature.

Hybrid columnar compressed table vs Columnstore clustered index

Oracle’s “Hybrid columnar” compressed tables are called “Columnstore clustered index” in SQL Server. Columnstore indexes store data in a columnar format, which can significantly improve query performance for analytical workloads.

These are some of the key differences and similarities between Oracle and SQL Server tables. It’s important to understand these concepts to make informed decisions when designing and optimizing your database structures.

If you have any unique ways of using these table types or any experiences to share, please let us know in the comments below. We would love to learn from your experiences as well.