We performed a comparison between Boomi AtomSphere Integration and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The Salesforce and NetSuite Application specific “connectors” provide a layer of abstraction on top of the SOAP-based APIs to streamline integration development."
"Very effective with its drag-and-drop feature."
"It is a low-code and high-configuration platform, which is very valuable. Develop once and run anywhere is another useful feature. It also has connectors for more than 200 applications. It provides value for money. Our customers who have implemented this solution have a very high ROI."
"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."
"It is easy to learn and implement."
"The platform is user-friendly."
"The best features are that it is a cloud-based and a multi-tenant tool."
"The product's initial setup phase was easy."
"It has improved our data integration capabilities."
"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."
"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."
"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."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"It's my understanding that the product can scale."
"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."
"It's very simple compared to other products out there."
"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."
"Documentation could be improved."
"They should create a custom connector option. With this, they could improve where the user can create the connector, based on their usage."
"The solution is complex. There's a few items and features that are hard to understand. They should work to simplify the functionality so new users don't struggle."
"There should be more scripting possibilities."
"The product could be a little bit more user-friendly."
"The high price of the solution is an area of concern where improvements are required."
"They are lacking in some streaming features, and messaging features from a listener's point of view."
"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."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."
"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."
"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."
"I would like to see improvements made for real-time data processing."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"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."
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Boomi AtomSphere Integration is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. Boomi AtomSphere Integration is rated 7.8, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Boomi AtomSphere Integration writes "Stable product, suitable for limited integrations and lacks flexibility ". 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". Boomi AtomSphere Integration is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and Azure Data Factory, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our Boomi AtomSphere Integration vs. Pentaho Data Integration and Analytics report.
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