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SAP Data Hub [EOL] vs WhereScape RED comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

SAP Data Hub [EOL]
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
WhereScape RED
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
15
Ranking in other categories
Data Integration (46th)
 

Featured Reviews

VM
GTM Lead at Capgemini
The solution is seamless, but the database sometimes leads to confusion
We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.
reviewer1618884 - PeerSpot reviewer
BI Analyst DW Architect at a mining and metals company with 10,001+ employees
Quick to set up, flexible, and stable
The scheduling part I don't like due to the fact that it allows you to schedule as a parent and child and other things, however, the error trackability has to be a little more user-friendly. It's also not user-friendly in the sense that it loads all the jobs and there are not enough filters so that it doesn't need to load everything. If the job fails, you don't get any type of alert or email. It would be ideal if there was some sort of automated alert message. Technical support isn't the best. It would be ideal if we understood how to do it in a card exception regarding exclusion, where the card is captured separately rather than filling the whole process on the data inbound side. Certain workloads like this are organized in such a way where you seem to be doubling the work as opposed to streamlining the process.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."
"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."
"ROI has been huge; we have a very large healthcare data warehouse and the amount of ETL code we have produced and continue to maintain would not be possible without a tool as cost effective as RED."
"During the POC myself and one WS resource were able to deliver a project in 3 days that had been in development by other resources for 6 months and still hadn't been delivered."
"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."
"Naturally produces a way to easily debug your DW data solutions."
"Two months into the project we are currently 50% under budget due to how quickly it's possible to develop large-scale solutions in WhereScape."
"The most valuable feature is the metadata generated code and data structures and that it is a fully integrated environment."
"Speed to market of a warehouse solution at a relatively inexpensive price point."
"I like the data vault implementations."
 

Cons

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."
"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."
"The company has everything offshore."
"I don't think the solution is very stable. Even though I like this tool numerous bugs made it difficult and unreliable."
"The only other thing I would note is that the IDE isn’t as intuitive as I would like."
"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."
"Technical support isn't the best. They seem to be more money-oriented than customer-oriented. We found that after the purchase, assistance and support really dropped off."
"Technical support isn't the best."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"Data discovery would be more powerful with machine learning features."
"Improve the object renaming ability (it works, but it could be more automated)."
 

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."
"Speed to market of a warehouse solution at a relatively inexpensive price point."
"ROI is at least 10 times."
"Our company purchased a corporate unlimited license."
"Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Manufacturing Company
14%
Construction Company
9%
Financial Services Firm
9%
Comms Service Provider
10%
Healthcare Company
9%
Outsourcing Company
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise11
 

Overview

 

Sample Customers

Kaeser Kompressoren, HARTMANN
British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
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