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."This solution is very good at mini-batch processing."
"The solution is instantaneous. We can launch the service and reduce the end number of manpower."
"The installation is easy."
"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."
"I like that I can focus on the logic and I don't have to worry about the administration stuff. AWS handles that for me."
"The initial setup is simple. Not that much complex."
"Scalable and stable solution for migrating databases to AWS, with valuable features such as parallel full load and continuous data replication."
"I am very impressed by the scalability of AWS Database Migration Service."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."
"It's very simple compared to other products out there."
"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."
"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."
"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."
"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."
"It would be helpful if the bandwidth could be independent of the network or if we could have a dedicated bandwidth for this product."
"I think that Amazon needs to improve the migration scenarios after analytics"
"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."
"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."
"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."
"There are a set of complexities and challenges when a user wants to integrate AWS products with Microsoft products."
"One thing that I don't like, just a little, is the backward compatibility."
"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"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."
"I would like to see improvements made for real-time data processing."
"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
More AWS Database Migration Service Pricing and Cost Advice →
More Pentaho Data Integration and Analytics Pricing and Cost Advice →
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.
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.