Azure Data Factory vs Rivery comparison

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25,660 views|20,160 comparisons
91% willing to recommend
Rivery Logo
324 views|225 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: May 2024).
772,649 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
"The function of the solution is great.""I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management.""The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain.""The most valuable feature is the ease in which you can create an ETL pipeline.""The most valuable features are data transformations.""The most important feature is that it can help you do the multi-threading concepts.""It makes it easy to collect data from different sources.""Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."

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"Connects to many APIs in the market and new ones are being added all the time."

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Cons
"There's space for improvement in the development process of the data pipelines.""There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""We have experienced some issues with the integration. This is an area that needs improvement.""The product's technical support has certain shortcomings, making it an area where improvements are required.""The speed and performance need to be improved.""If the user interface was more user friendly and there was better error feedback, it would be helpful.""The one element of the solution that we have used and could be improved is the user interface."

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"Lineage and an impact analysis or logic dependency are lacking."

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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 →

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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
    60th
    out of 101 in Data Integration
    Views
    324
    Comparisons
    225
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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.

    Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.

    By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.

    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
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    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%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    University9%
    Recreational Facilities/Services Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise27%
    Large Enterprise52%
    Buyer's Guide
    Data Integration
    May 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Rivery is ranked 60th in Data Integration. Azure Data Factory is rated 8.0, while Rivery is rated 9.0. 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 Rivery writes "Great logic and the ability to call outside API if needed. Key feature is management of different sources". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Rivery is most compared with Alteryx Designer and AWS Glue.

    See our list of best Data Integration vendors.

    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.