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: April 2024).
769,599 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
"We haven't had any issues connecting it to other products.""One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams.""I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management.""We have been using drivers to connect to various data sets and consume data.""An excellent tool for pipeline orchestration.""I can do everything I want with SSIS and Azure Data Factory.""The data copy template is a valuable feature.""The function of the solution is great."

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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
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas.""Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail.""Azure Data Factory uses many resources and has issues with parallel workflows.""You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats.""Lacks a decent UI that would give us a view of the kinds of requests that come in.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement.""Lacks in-built streaming data processing."

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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 Firm17%
    Comms Service Provider13%
    Computer Software Company13%
    University8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise25%
    Large Enterprise52%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    769,599 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 Microsoft Azure Synapse Analytics, whereas Rivery is most compared with AWS Glue and Alteryx Designer.

    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.