We performed a comparison between AWS Database Migration Service and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I am very impressed by the scalability of AWS Database Migration Service."
"The initial setup is simple. Not that much complex."
"The installation is easy."
"Scalable and stable solution for migrating databases to AWS, with valuable features such as parallel full load and continuous data replication."
"It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports."
"It's scalable."
"The product's initial setup phase was very easy."
"The solution is stable and reliable."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."
"The solution has a free to use community version."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"Provides a good open source option."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"The product's performance could be a little bit better."
"I think that Amazon needs to improve the migration scenarios after analytics"
"The performance of data migration could be smoother."
"This solution is compatible with only AWS."
"Support could be more expedient. Right now I am waiting on support for an extension."
"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."
"The server has limits on how many can connect to the database."
"What needs improvement in AWS Database Migration Service is that it lacks a log file validation feature. If the solution could provide more details about a particular transaction, that would be helpful. The stability of AWS Database Migration Service for online CDC records also needs to be improved."
"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured. Sometimes we get all kinds of different files that we need to integrate into the warehouse."
"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."
"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"One thing that I don't like, just a little, is the backward compatibility."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
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AWS Database Migration Service is ranked 2nd in Cloud Data Integration with 27 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. AWS Database Migration Service is rated 7.8, while Pentaho Data Integration and Analytics is rated 8.0. 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 Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". AWS Database Migration Service is most compared with AWS Glue, Oracle GoldenGate, Qlik Replicate, Fivetran and Confluent, whereas Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and Confluent. See our AWS Database Migration Service vs. Pentaho Data Integration and Analytics report.
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