Azure Data Factory vs WhereScape RED comparison

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25,660 views|20,160 comparisons
91% willing to recommend
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2,546 views|1,677 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and WhereScape RED based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Azure Data Factory vs. WhereScape RED Report (Updated: May 2024).
771,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.""Powerful but easy-to-use and intuitive.""The function of the solution is great.""It is easy to deploy workflows and schedule jobs.""The solution can scale very easily.""What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems.""The trigger scheduling options are decently robust.""We have been using drivers to connect to various data sets and consume data."

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"The most valuable feature is the metadata generated code.""Data transformations and rollups are easy to accomplish.""It has a built-in automatic scheduling environment.""Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied.""I like the data vault implementations.""WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing.""The tool supports multiple target update methods.""Naturally produces a way to easily debug your DW data solutions."

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Cons
"Lacks a decent UI that would give us a view of the kinds of requests that come in.""The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring.""The speed and performance need to be improved.""Azure Data Factory uses many resources and has issues with parallel workflows.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on.""One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases.""When the record fails, it's tough to identify and log.""Some known bugs and issues with Azure Data Factory could be rectified."

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"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application.""Project-based searching of data objects in the data warehouse browser needs to be improved.""They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box.""It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully.""Improve the object renaming ability (it works, but it could be more automated).""The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate.""No support for change data capture or delta detection - that must be custom coded .""Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."

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Pricing and Cost Advice
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
  • "ROI is at least 10 times."
  • "Speed to market of a warehouse solution at a relatively inexpensive price point."
  • "Our company purchased a corporate unlimited license."
  • More WhereScape RED Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
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    Ranking
    1st
    out of 101 in Data Integration
    Views
    25,660
    Comparisons
    20,160
    Reviews
    47
    Average Words per Review
    509
    Rating
    8.0
    48th
    out of 101 in Data Integration
    Views
    2,546
    Comparisons
    1,677
    Reviews
    0
    Average Words per Review
    0
    Rating
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    Comparisons
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    WhereScape
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    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Healthcare Company20%
    University20%
    Manufacturing Company20%
    Energy/Utilities Company13%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Government11%
    Insurance Company9%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    Buyer's Guide
    Azure Data Factory vs. WhereScape RED
    May 2024
    Find out what your peers are saying about Azure Data Factory vs. WhereScape RED and other solutions. Updated: May 2024.
    771,740 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while WhereScape RED is ranked 48th in Data Integration. Azure Data Factory is rated 8.0, while WhereScape RED is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas WhereScape RED is most compared with Informatica PowerCenter, SSIS, Matillion ETL, Denodo and Talend Open Studio. See our Azure Data Factory vs. WhereScape RED report.

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    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.