We performed a comparison between AWS Glue 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."Our entire use case was very easily handled or solved using this solution."
"It's fairly straightforward as a product; it's not very complicated."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."
"It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly."
"The most valuable features currently are glue studio, jobs, and triggers."
"We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure."
"I appreciate AWS Glue for its cost-effectiveness."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"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."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"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."
"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's my understanding that the product can scale."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"AWS Glue is more costly compared to other tools like Airflow."
"The monitoring is not that good."
"It fails to handle massive databases acquired from various sources."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"AWS Glue would be improved by making it easier to switch from single to multi-cloud."
"There should be more connectors for different databases."
"The mapping area and the use of the data catalog from Glue could be better."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"I would like to see more improvements with AS400 DB2."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"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."
"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"One thing that I don't like, just a little, is the backward compatibility."
More Pentaho Data Integration and Analytics Pricing and Cost Advice →
AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. AWS Glue is rated 7.8, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". 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 Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and SAP Data Services. See our AWS Glue vs. Pentaho Data Integration and Analytics report.
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