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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 April 2025, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 8.4%, down from 10.1% compared to the previous year. The mindshare of Vertica is 5.6%, up from 5.2% 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

"Data Factory's best features are simplicity and flexibility."
"We have been using drivers to connect to various data sets and consume data."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"I am one hundred percent happy with the stability."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"It's extremely consistent."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"The solution is quick, has good compression data, and is not expensive."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"The extensibility and efficiency provided by their C++ SDK."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"The most valuable feature is Vertica's performance and the ease of using the database."
 

Cons

"When we initiated the cluster, it took some time to start the process."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"There's space for improvement in the development process of the data pipelines."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The setup and configuration process could be simplified."
"The Microsoft documentation is too complicated."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"They could improve the integration and some of the features in the cloud version."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"Very bad support, I would rate it two out of 10."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"The integration of this solution with ODI could be improved."
"Limitations in group by projections is where I would like to see an improvement."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
 

Pricing and Cost Advice

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"The licensing cost is included in the Synapse."
"The pricing is a bit on the higher end."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The price you pay is determined by how much you use it."
"I would not say that this product is overly expensive."
"It is fast to purchase through the AWS Marketplace."
"It's an expensive product"
"Vertica is an expensive tool."
"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 and licensing depend on the size of your environment and the zone where you want to implement."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
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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%
Real Estate/Law Firm
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.
848,716 professionals have used our research since 2012.