How do you ensure data consistency in MongoDB?

Data consistency in MongoDB can be ensured by using transactions. A transaction is a set of operations that are executed as a single unit and either all of them are applied or none of them are applied.

For example, if a customer wants to transfer money from one account to another, the transaction would include both the debit and credit operations. If either one of the operations fails, the entire transaction should be rolled back.

MongoDB provides the ability to use transactions across multiple documents, collections, and databases. This helps ensure data consistency by ensuring that all operations within the transaction are either all applied or none are applied.

How does Oracle Database handle data integrity?

Oracle Database uses a number of features to ensure data integrity, including:

1. Primary Keys: A primary key is a unique identifier for a row in a table. It ensures that each row is uniquely identified and helps to prevent duplicate data.

2. Foreign Keys: A foreign key is a column or group of columns in a table that references a primary key in another table. This helps to ensure that related data is consistent across multiple tables.

3. Constraints: Constraints are used to enforce certain data integrity rules. For example, a NOT NULL constraint prevents null values from being inserted into a column.

4. Triggers: Triggers are code that is executed when certain database events occur. They can be used to check data integrity and enforce business rules.

5. Indexes: Indexes can be used to quickly search for data and ensure that data is stored in a consistent format.

6. Encryption: Data can be encrypted to ensure that it is secure and can only be accessed by authorized users.