Triggers are very useful if we want to audit the changes happening on the database of all above mentioned types. These days Audit Compliance has become very crucial to understand who is doing what on the critical production database. 

Even activity is authorized or unauthorized managing all the changes at the database level, proved to be efficient in managing and monitoring the critical data.

Applications connecting to the database can be using some critical data in the table as part of the application configuration. Any alteration to such data can become a disaster, to manage such data also ,trigger can be enabled so that such data should not be altered and report to required persons if any attempt for doing alternations.

Such way and more other ways triggers in database management helps the data in the database safe and highly secured.

What are Types of Trigger Events

1. FOR Triggers

FOR triggers can be designated for tables or views. They activate only when all operations specified in the triggering SQL statement have successfully commenced.

2. AFTER Triggers

AFTER triggers execute only after the designated triggering SQL statement has completed successfully. They cannot be applied to views.

3. INSTEAD OF Triggers

An INSTEAD OF trigger permits the override of INSERT, UPDATE, or DELETE operations on a table or view. These triggers prevent the actual DML operations from occurring.

4. LOGON Triggers

In SQL Server, Logon triggers automatically activate upon a LOGON event. They are categorized as DDL triggers and are established at the server level. Multiple LOGON triggers can be defined on a server.

Is it worth having Triggers Enabled on Database?

Triggers offer several advantages in database management systems:

1. Automated Actions: Triggers allow for the automation of actions based on predefined conditions or events, reducing the need for manual intervention. This automation can streamline processes and ensure consistency in data management tasks.

2. Data Integrity: Triggers can enforce data integrity rules by validating data before it is inserted, updated, or deleted from a database. They help maintain the consistency and accuracy of data by enforcing business rules and constraints.

3. Audit Trail: Triggers can be used to create an audit trail by logging changes made to the database. This audit trail can track who made the changes, when they were made, and what changes were made, providing a valuable tool for monitoring and troubleshooting database activities.

4. Complex Business Logic: Triggers allow for the implementation of complex business logic directly within the database. This logic can be executed automatically in response to specified events, without the need for client-side applications to implement the logic.

5. Data Replication: Triggers can facilitate data replication by automatically updating replicated data in other databases or systems when changes occur in the primary database. This helps ensure consistency across multiple data sources.

6. Cascade Operations: Triggers can initiate cascade operations, such as updating related records or performing additional actions when certain events occur. This can help maintain data consistency and integrity in complex relational databases.

7. Security Enforcement: Triggers can enforce security policies by restricting access to certain data or operations based on predefined conditions. They can also implement row-level security, ensuring that users only have access to the data they are authorized to view or modify.

Triggers enhance the functionality, integrity, and security of database management systems by automating tasks, enforcing rules, and facilitating complex operations.

While triggers offer various benefits, they also come with some disadvantages in database management systems:

1. Complexity and Maintenance: Triggers can introduce complexity to the database schema and logic, especially when multiple triggers are involved. This complexity can make the database more challenging to understand, maintain, and troubleshoot, particularly as the number of triggers increases over time.

2. Performance Overhead: Triggers can impact database performance, especially if they involve complex operations or are triggered frequently. Each trigger execution adds overhead to database transactions, potentially leading to slower response times and reduced scalability, particularly in high-transaction environments.

3. Implicit Behavior: Triggers can introduce implicit behavior, where certain actions occur automatically without explicit commands from the user. This implicit behavior may not be immediately obvious to developers or users, leading to unintended consequences or confusion about how the database operates.

4. Potential for Recursion: Triggers can trigger other triggers, leading to recursion. Recursive triggers can result in unexpected behavior, excessive resource consumption, or even database deadlock if not carefully managed or constrained.

5. Debugging Challenges: Debugging triggers can be more challenging compared to other database objects. Triggers may execute automatically in response to specific events, making it difficult to trace their execution path or identify issues, especially in complex trigger hierarchies.

6. Portability and Compatibility: Triggers may not be fully portable across different database management systems (DBMS) or versions. Differences in syntax, functionality, or implementation details may require modifications when migrating triggers between DBMS platforms, potentially increasing development effort and complexity.

7. Security Risks: Poorly designed or implemented triggers can introduce security vulnerabilities, such as SQL injection attacks or unauthorized access to sensitive data. Triggers that execute with elevated privileges may inadvertently expose the database to security risks if not properly secured or audited.

8. Dependency Management: Triggers can create dependencies between database objects, making it more challenging to modify or refactor the database schema. Changes to tables or views referenced by triggers may require updating trigger logic, potentially disrupting application functionality or introducing errors.

While triggers offer powerful capabilities for automating actions and enforcing business rules in a database, their use should be carefully considered and balanced against potential drawbacks, particularly regarding complexity, performance, and security.

In conclusion, triggers play a crucial role in database management systems, offering a powerful mechanism for automating actions, enforcing data integrity, and implementing complex business logic. 

While triggers provide numerous benefits such as automation, data integrity enforcement, and audit trail creation, they also come with certain disadvantages, including complexity, performance overhead, and debugging challenges. 

Despite these drawbacks, when used judiciously and with careful consideration of their implications, triggers can greatly enhance the functionality, reliability, and security of database systems.are