1. Active and Passive Rule
Types of Transformations:
1. Active Transformation
2. Passive Transformation
3. Active/Passive Transformation
4. Connected/Unconnected Transformation
5. Multigroup Transformation
6. Blocking Transformation
1. Active Transformation:- An active transformation can perform any of the following actions:
(a) Change the number of rows that pass through the transformation:- for eg, the Filter
transformation is
active because it removes rows that do not meet the filter condition.
(b) Change the transaction boundary:- for eg, , the Transaction Control transformation is
active because it defines a commit or roll back transaction based on an expression evaluated for
each row.
(c) Change the row type:- for eg, the Update Strategy transformation is active because it flags
rows for
insert, delete, update, or reject.
2. Passive Transformation:- An Passive transformation which will satisfy all below conditions:
(a) Do not Change the number of rows that pass through the transformation
(b) Maintains the transaction boundary
(c) Maintains the row type.
Important Note:- The Designer does not allow you to connect multiple active transformations
or an active and a passive transformation to the same downstream transformation or
transformation input group because the Integration Service may not be able to concatenate the
rows passed by active transformations. For example, one branch in amapping contains an Update
Strategy transformation that flags a row for delete. Another branch contains an Update Strategy
transformation that flags a row for insert. If you connect these transformations to a single
transformation input group, the Integration Service cannot combine the delete and insert
operations for the row.
3. Connected Transformations:- Transformations which are connected to other transformation
in the data flow are called Connected Transformations
4. Unconnected Transformations:- Transformations which are not connected to other
transformation in the data flow are called Connected Transformations.An unconnected
transformation is called within another
transformation, and returns a value to that transformation.

2. List of Informatica Transformation Category Wise
Active Transformations Passive Transformations Both Active & Passive
Transformation
1. Aggregator 1. Data Masking 1. Custom
2. Application Source Qualifier& 2. Expression 2. Lookup
3. Source Qualifier 3. External Procedure 3. Unstructured Data
4. Sorter 4. Input 4. SQL
5. Union 5. Output 5. Java
6. Update Strategy 6. Sequence Generator
7. Rank 7. Stored Procedure
8. Router 8. HTTP
9. Filter
10. Normalizer
11. Transaction Control
12. Joiner
13. XML Source Qualifier
14. XML Generator
15. XML Parser
Connected and Unconnected Transformation (Both) Connected Transformation
1. External Procedure Rest All transformations are
connected.
2. Stored Procedure
3. Lookup
MultiGroup Transformations
1. Union
2. Router
3. Joiner
4. Custom
5. Unstructured Data
6. XML Source Qualifier
7. XML Generator
8. XML Parser
9. XML Target Definition
Blocking Transformations

3. 1.Custom transformation with Input may block property enabled.
2.Joiner transformation configured for unsorted Input.