2022-11-14T13:54:00Z

Is using Hitachi Lumada Data Integrations cost-effective? Did this solution save money for your company compared to other products?

Do you feel the tool is worth the price?

NC
Content Manager at PeerSpot (formerly IT Central Station)
  • 1
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PeerSpot user
2 Answers
DG
Tech blogger
Real User
Top 5
2022-12-06T13:27:22Z
Dec 6, 2022

This product saved my company a lot of money. On one hand, Hitachi Lumada Data Integration offers a very simple-to-use interface. This means our employees did not need extensive and expensive training on how to use it. Even beginners could do data reports thanks to this product. And then it is definitely worth mentioning that this tool does not cost as much as some of its competitors in the field. Last, but definitely not least, it does a great job of handling complicated data from multiple sources. This eliminates the need for other products. So yes, it is worth the money and it saved my company plenty.

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Beth Safire - PeerSpot reviewer
Tech Blogger
Real User
Top 5
2022-12-06T13:41:33Z
Dec 6, 2022

In my opinion, this tool is more than cost-effective, considering how well it does its job. The initial purchase of the product paid out many times over the years and we have used it effectively for data integration. But not only that, it saved a considerable amount of our employees' time and sped up many processes. I believe that by using this you will benefit from efficient results and quickly get the money for it back. My company was using a competitor of Hitachi Lumada Data Integrations when I came to work here. Older employees can confirm that this product is better for our needs than previously used ones!

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Related Questions
NC
Content Manager at PeerSpot (formerly IT Central Station)
Dec 6, 2022
Are you satisfied with the results this tool gives you for the purposes you use it for?
See 2 answers
DG
Tech blogger
Dec 6, 2022
The primary use of this product at my company is for data warehousing. We utilize it as a data integration tool and it works fine, as long as you do not overload it - if so you may have to resort to another product. But Hitachi Lumada Data Integration is great for what it is made for. We collect data from various sources through it and structure it. Through the tool, we access reporting of the data and increase business intelligence. In my opinion, it does a good job for the value. We have used competitors of this solution before and this one ranks on the top according to my colleagues and I.
Beth Safire - PeerSpot reviewer
Tech Blogger
Dec 6, 2022
My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could use it. We have ETL developers but most of our team varies in computer background. This tool is low-code and has many visualization features that make using it extremely easy! All the things we have utilized it for were easy to explain and perform by most of my teammates and the company was very satisfied that everyone could access the data this tool integrated.
NC
Content Manager at PeerSpot (formerly IT Central Station)
Dec 6, 2022
Are you completely satisfied with this product or is there something you think stops its seamless data integration?
See 2 answers
DG
Tech blogger
Dec 6, 2022
In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, it can definitely up its reporting features. While I used it, there were plenty of basic components I felt that it missed. For example, it did not provide the option to search the repository for a report. I feel like this is a huge miss out since it would save on a lot of manual searching. If they upped their game there, I would be among the first to recommend it.
Beth Safire - PeerSpot reviewer
Tech Blogger
Dec 6, 2022
I do not see any big problems with this solution. It works very well for my company, a medium-sized one. We have been using it for a while now and the only issue I have caught during that time is with caching. We had to integrate a larger data set once and then we encountered a slight problem with the tool. We were used to its high speed with all operations but with the larger data set, things got slower than usual. I am not sure if it was a one-time thing or if it is common, so you may want to look into that if you are a big data company.
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