MongoDB CDC and Streaming ETL: A Powerful Combination for Data Integration
MongoDB is a popular NoSQL database that is known for its flexibility and scalability. One of the key features of MongoDB is change data capture (CDC), which allows businesses to track changes to data in real time. Streaming ETL is another data integration technique that can be used to move data from one system to another in real time.
So, which one should you choose? MongoDB CDC or streaming ETL? The answer depends on your specific needs.
MongoDB CDC
MongoDB CDC is a feature that allows you to track changes to data in MongoDB collections. When a change is made to a collection, a change event is generated. These change events can be used to update other systems, such as a data warehouse or a reporting tool.
MongoDB CDC is a powerful tool that can be used to keep data in multiple systems in sync. However, it is important to note that MongoDB is not a full-fledged ETL solution. It does not provide any data transformation or cleansing capabilities.
Streaming ETL
Streaming ETL is a data integration technique that allows you to move data from one system to another in real time. Also, Streaming ETL solutions typically use a message broker to receive data from the source system and then send it to the destination system.
Streaming ETL can be used to integrate a wide variety of data sources, including databases, applications, and cloud storage systems. Also, It can also be used to perform data transformation and cleansing.
Which is Right for You?
MongoDB CDC and streaming ETL are both powerful data integration techniques. Also, The best solution for you will depend on your specific needs.
If you need to keep data in multiple systems in sync, then MongoDB is a good option. However, if you need to perform data transformation or cleansing, then you will need to use a streaming ETL solution.
Here is a table that summarizes the key differences between MongoDB CDC and streaming ETL:
Feature | MongoDB CDC | Streaming ETL |
Data synchronization | Yes | Yes |
Data transformation | No | Yes |
Data cleansing | No | Yes |
Scalability | Good | Excellent |
Cost | Low | High |
Conclusion
MongoDB CDC and streaming ETL are both powerful data integration techniques. The best solution for you will depend on your specific needs. If you need to keep data in multiple systems in sync, then MongoDB is a good option. However, if you need to perform data transformation or cleansing, then you will need to use a streaming ETL solution.