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."The most valuable feature of the solution is the one I use for report generation. The security risk is very low."
"It's scalable."
"The most valuable features of the AWS Database Migration Service are the ease of migration, beneficial storage system, security, and simple instance creation. Additionally, the cloud that is provided is more complete than other solutions."
"The database migration services allow us to do real-time synchronization of on-premise and database to plan out our releases."
"The fact that it's well-integrated into multiple targets that are good for different use cases is pretty good."
"The most valuable feature of AWS Database Migration Service is it catches all the history changes, such as inset, observe, and delete. It tracks everything."
"The initial setup is simple. Not that much complex."
"The product is cheaper than all platforms"
"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."
"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"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."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"I think that Amazon needs to improve the migration scenarios after analytics"
"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."
"AWS Database Migration Service can become complex when testing. Other solutions, such as Microsoft Azure makes it easy to do. There are more steps to complete tasks in AWS Database Migration Service than in Microsoft Azure."
"More endpoints need to be supported by AWS Database Migration Service. There's also a need for more control and transparency on the product, including better technical support."
"The server has limits on how many can connect to the database."
"As a solution, the better thing is if more platforms come with direct compatibility, like connecting to different data sources. The basic problem I faced the most was while transferring and reading data from Excel. So, one time, I found that all the components I had declared in my scripts were able to take it. And after some patching happens, it is not able to support that. Again, we need to update the version of Excel. So, it's not like a plug-in type place where you have done the solution and are confident that it will work. So, this is an area of improvement."
"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 product's performance could be a little bit better."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"I would like to see improvements made for real-time data processing."
"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."
"If you develop it on MacBook, it'll be quite a hassle."
"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'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"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."
"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."
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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 15th 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 SSIS, Azure Data Factory, 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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