We compared AWS Database Migration Service and AWS Glue based on our user's reviews in several parameters.
AWS Database Migration Service is praised for seamless integration, efficient migration, and customer support, while customers find the pricing competitive. In contrast, AWS Glue is commended for efficient data integration, automation, and robust processing power. Users also value its customer service and flexible pricing. Areas for improvement for Database Migration include setup streamlining, improved documentation, monitoring enhancement, and complexity reduction, while Glue users suggest user-friendliness, better troubleshooting documentation, performance and reliability improvements, and advanced customization options.
Features: The valuable features of AWS Database Migration Service include seamless integration with other AWS services, efficient data migration, user-friendly interface, robust data validation, and excellent customer support. On the other hand, AWS Glue stands out with its efficient data integration capabilities, advanced automation abilities, seamless integration with other AWS services, ease of setting up and monitoring data transformations, comprehensive pre-built connectors, and robust processing power.
Pricing and ROI: According to user feedback, AWS Database Migration Service offers reasonable setup costs and flexible licensing options. On the other hand, AWS Glue has minimal setup costs, a straightforward licensing process, and an affordable pricing structure. Users have expressed satisfaction with Glue's hassle-free setup and fair licensing terms., The ROI from utilizing AWS Database Migration Service has been profitable, while AWS Glue offers a valuable and cost-effective solution with scalability and flexibility.
Room for Improvement: Areas for improvement in AWS Database Migration Service include streamlining setup, improving documentation, addressing compatibility issues, enhancing monitoring capabilities, and reducing overall complexity. On the other hand, AWS Glue users have suggested improvements in user-friendliness, documentation, reliability, performance, customization options, advanced features, and specific use case capabilities.
Deployment and customer support: In comparing the user reviews for AWS Database Migration Service and AWS Glue, it can be seen that some users reported spending three months on deployment and an additional week on setup for AWS Database Migration Service. On the other hand, for AWS Glue, various timeframes were mentioned, including three months for deployment and an additional week for setup. However, if users mentioned a week for both deployment and setup, it implies that these terms refer to the same period and should be considered as one., The customer service and support provided by AWS Database Migration Service have been praised for their excellence, responsiveness, and knowledge. On the other hand, users have expressed satisfaction with AWS Glue's customer service, describing it as reliable, helpful, and responsive.
The summary above is based on 51 interviews we conducted recently with AWS Database Migration Service and AWS Glue users. To access the review's full transcripts, download our report.
"It's scalable."
"Even if it does break down, it will automatically recover itself and resumes from where it stopped."
"The product is cheaper than all platforms"
"The initial setup is simple. Not that much complex."
"For our simple requirement of migration, DMS is just a typical AWS RDS with an IPSec tunnel to Oracle. The most valuable features for us are the networking capabilities like VPCs and VPNs."
"The solution is stable and reliable."
"Support is helpful."
"The process is now simplified because there won't be maintenance. Usually we can take a snapshot of the number I need. We can automate the backup snapshots and we can restore it very quickly. We get many benefits from the application."
"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"The most valuable feature of AWS Glue is scalability."
"The solution helps organizations gain flexibility in defining the structure of the data."
"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"AWS Glue's best features are scalability and cloud-based features."
"It would be helpful if the bandwidth could be independent of the network or if we could have a dedicated bandwidth for this product."
"The initial setup can be difficult for beginners in AWS Database Migration Service. You will need the training to complete it."
"The cost is a concern. We use DMS because of its simplicity, but the price could definitely be more competitive."
"There are a set of complexities and challenges when a user wants to integrate AWS products with Microsoft products."
"The names of the services need improvement since AWS doesn't indicate what the function of the product is presently. You need to read a lot to find the service that you want in the product."
"The way that the task settings work, specifically for logging, is really poor."
"This solution can offer more tweaks where the latency can be brought down to fifteen seconds."
"Migrating from here and pushing the data from on-premise to AWS cloud is a big challenge and a few more services from AWS would be helpful. For example, we are currently using ILDB internet tools which move data from on-premise to the AWS cloud. A few more services would be really helpful for me to move the master data."
"There is a learning curve to this tool."
"The product is expensive for data streaming. This area needs improvement."
"We face performance issues when using AWS Glue for data transformation and integration."
"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."
"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."
"The solution should offer features for streaming data in addition to batching data."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"The setup and installation is a bit complex without advanced knowledge or training."
More AWS Database Migration Service Pricing and Cost Advice →
AWS Database Migration Service is ranked 2nd in Cloud Data Integration with 27 reviews while AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews. AWS Database Migration Service is rated 7.8, while AWS Glue is rated 7.8. The top reviewer of AWS Database Migration Service writes "A cloud solution for live replication but has stability issues". On the other hand, the top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". AWS Database Migration Service is most compared with Oracle GoldenGate, Qlik Replicate, Fivetran, Confluent and Oracle GoldenGate Cloud Service, whereas AWS Glue is most compared with Informatica PowerCenter, SSIS, Informatica Cloud Data Integration, Talend Open Studio and Oracle Integration Cloud Service. See our AWS Database Migration Service vs. AWS Glue report.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.