Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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

Azure Data Factory
Ranking in Cloud Data Warehouse
3rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st)
Vertica
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th)
 

Mindshare comparison

As of May 2025, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 8.1%, down from 10.1% compared to the previous year. The mindshare of Vertica is 5.7%, up from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

Quotes from Members

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

Pros

"It is easy to integrate."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Powerful but easy-to-use and intuitive."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"Its integrability with the rest of the activities on Azure is most valuable."
"The solution is quick, has good compression data, and is not expensive."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"Speed and resiliency are probably the best parts of this product."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The extensibility and efficiency provided by their C++ SDK."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Initiate on one node, and the RPM propagates automatically to all other nodes. ​"
 

Cons

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"When we initiated the cluster, it took some time to start the process."
"I have not found any real shortcomings within the product."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"The biggest problem is the cost of cloud deployment."
"They could improve the integration and some of the features in the cloud version."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"In our company, we have faced difficulties in scaling the solution for certain use cases."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"Documentation has become much better, but can always use some improvement."
 

Pricing and Cost Advice

"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The cost is based on the amount of data sets that we are ingesting."
"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."
"Product is priced at the market standard."
"I would rate Data Factory's pricing nine out of ten."
"The solution's pricing is competitive."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"The price you pay is determined by how much you use it."
"The price could be cheaper and it is best to negotiate the price."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"From a cost perspective, the software is less than most of its competitors."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"The pricing could improve, it is a little expensive."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"The pricing for this solution is very reasonable compared to other vendors."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
850,028 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
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 an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
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 Q...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

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
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Azure Data Factory vs. Vertica and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.