When assessing the two solutions, reviewers found Apache Kafka easier to use. However, AWS AppSync is easier to set up and administer. Reviewers also preferred doing business with AWS AppSync overall.
AWS app sync helps you update the data in realtime in your web and mobile applications.It also offers to update the data for offline users as soon as they reconnect.It really helps us to build native webapps or services for ios or android application with...
- Learning cost and Small sample size. - It may be that I just haven't learned enough, but the logic becomes more complex.
Speed at which it transmits and ability to handle a large number of messages seamlessly. I have used it in scenarios where millions of data were to be communicated between microservices and kafka is able to handle it very well.
The official sink and source connectors, from debezium have issues with some advanced data types, especially arrays and son, when reading from postgres WAL files.
AWS app sync helps you update the data in realtime in your web and mobile applications.It also offers to update the data for offline users as soon as they reconnect.It really helps us to build native webapps or services for ios or android application with...
Speed at which it transmits and ability to handle a large number of messages seamlessly. I have used it in scenarios where millions of data were to be communicated between microservices and kafka is able to handle it very well.
- Learning cost and Small sample size. - It may be that I just haven't learned enough, but the logic becomes more complex.
The official sink and source connectors, from debezium have issues with some advanced data types, especially arrays and son, when reading from postgres WAL files.