We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports."
"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 tools are very user-friendly."
"I am very impressed by the scalability of AWS Database Migration Service."
"As the solution is on the cloud, we don't have to worry about the maintenance of software."
"The most valuable feature is the product's versatility to inject data."
"Offers great flexibility."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"It's a robust solution."
"Once you have Infosphere up and running properly, it is stable."
"Finding logs is very easy on the solution."
"ETL is the most valuable feature."
"The Hierarchical Data Stage is good."
"I think that Amazon needs to improve the migration scenarios after analytics"
"It would be helpful if the bandwidth could be independent of the network or if we could have a dedicated bandwidth for this product."
"Database Migration Service could be more integrated. I think that it makes sense to add integration to these functions. For example, AWS Glue has a feature called Orchestrator to create data flows, and that's more straightforward."
"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."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"The setup is extremely difficult."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"It would be useful to provide support for Python, AR, and Java."
"The pricing should be lower."
"Currently lacking virtualization ability."
"There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."
"The template mapping could be easier."
"The pricing can be better and it should be more competitive."
"Pricing can be improved."
"It is quite expensive."
"The cost is too high."
"It's quite expensive."
"The price is expensive but there are no licensing fees."
"It's very expensive."
"Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
AWS Database Migration Service is ranked 6th in Cloud Data Integration with 5 reviews while IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 11 reviews. AWS Database Migration Service is rated 7.0, while IBM InfoSphere DataStage is rated 7.4. The top reviewer of AWS Database Migration Service writes "Stable service but requires additional applications for full functionality". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". AWS Database Migration Service is most compared with Oracle GoldenGate, AWS Glue, Qlik Replicate, AWS Data Pipeline and Informatica Data Integration Hub, whereas IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, Azure Data Factory, Informatica PowerCenter and Ab Initio Co>Operating System.
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.