AWS Schema conversion Tool help's us to migrate on premises database to the cloud or between different databases like Oracle, MYSQL, PostgreSQL etc. It analyses the database schema and suggests the code changes and generates the automated scripts. Review collected by and hosted on G2.com.

It may require some manual coding effort to optimise the migrated database for best performance. It may not support every possible database platform which could be a limitation for some users. Review collected by and hosted on G2.com.

I felt the software is easy and simple to use and also saves time while shifting from one database provider to another easily with an interactive User Interface and support for most of the database providers. Review collected by and hosted on G2.com.

NoSql Databases are not supported by this tool Also I dislike that many times some parts are to be done manually as they are not automatically detected all this is the something that could have been better Review collected by and hosted on G2.com.

Converting my DB schema from one DB engine to another one, its really easy to make it and migrate our on-prem DB to the AWS RDS DB without data loss and AWS provides a wide range of DB engines, which covers most of our preferences Review collected by and hosted on G2.com.

There are some limitations like can't migrate our on-prem MySQL or Postresql Databae to DMS because On Prem DB is a relational database which has all constraints like indexes or primary keys something like that. Review collected by and hosted on G2.com.

AWS Schema Conversion Tool is a powerful tool that can make database migration faster, easier, and more efficient. It automates much of the manual work involved in database migration, making it easier and faster to migrate your database to the cloud. Review collected by and hosted on G2.com.

In order to use this tool, users need to have an AWS account, which can be a barrier to entry for some users who are not already using AWS services. It also has limited Support for Some Databases which are not that popular. Review collected by and hosted on G2.com.

We have had a challenge and had plan to use the various ETL tools to do the task when planning to load data from on prem oracle db to AWS postgres database until we heard about SCT. Review collected by and hosted on G2.com.

Nothing issues bit complex initially to use but lots of articles available to get the job done. You would segregate the data while loading based on your requirements. Review collected by and hosted on G2.com.

Compatible with popular databases and analytics services. The AWS Schema Conversion Tool is easy to use and can save you a lot of time and effort when moving databases. It has a friendly interface that guides you through the process, and does many complicated tasks for you. It can move databases between different types of sources and destinations, like MySQL, Microsoft SQL Server, and Oracle. Review collected by and hosted on G2.com.

The long process of downloading and setting up!! Review collected by and hosted on G2.com.

I really like the easy and smooth interface that this tool provides. Also, the analyze feature of schema changes that it provides out of the box is nice. Its integration with well-known AWS DMS is fast and reliable without any human intervention. Review collected by and hosted on G2.com.

None, it provides all the features that we need, however, there should be proper notification handling via slack or email once it finds schema changes or any anomalies. Review collected by and hosted on G2.com.

Smooth integration with multiple data sources. Easy view of the difference schemas and source-to-target mapping. Very helpful during data migrations; I didn't see anything similar in Azure. Review collected by and hosted on G2.com.

It only works best with AWS ecosystem. It isn't helpful when the data migration target isn't in the AWS. Review collected by and hosted on G2.com.

To date, I had a great experience with AWS SCT, this tool saves us a lot of time for migration activities and we are able to streamline our 100's of etl pipelines using AWS SCT along with AWS DMS. The schema evolution solution is really amazing. Review collected by and hosted on G2.com.

Sometimes support from aws team regarding takes a lot of time. Also, not all NoSQL databases are supported. Documentation is not updated for latest versions of databases in case of troubleshoot Review collected by and hosted on G2.com.

I really like AWS SCT easy and user-friendly interface to convert schema between several databases. It helps in automating our ETL and ELT pipelines without any human intervention. Review collected by and hosted on G2.com.

Sometimes it is not smart enough to optimize datatypes as supported by sink databases. For migrating heavy and P0 tables, it can cost some performance issues. Review collected by and hosted on G2.com.