We performed a comparison between Pentaho Data Integration and Analytics and SAS Data Integration Server based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"We're using the PDI and the repository function, and they give us the ability to easily generate reporting and output, and to access data. We also like the ability to schedule."
"It's my understanding that the product can scale."
"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."
"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."
"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."
"The amount of data that it loads and processes is good."
"The solution offers very good data manipulation and loading."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."
"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."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"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."
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"So I would like to see improved integration with other software."
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Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Pentaho Data Integration and Analytics is rated 8.0, while SAS Data Integration Server is rated 7.4. The top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.
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