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Azure Data Factory vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.1
Azure Data Factory users save time and reduce costs, achieving ROI and enhanced satisfaction with centralized data integration.
Sentiment score
6.2
Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.3
Azure Data Factory users praise support and documentation, but note delays and high costs in paid consulting services.
Sentiment score
7.1
OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
They are not slow on responding or very informative.
Sales & Projects Manger at ACS
Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.
consultant at tcs
 

Scalability Issues

Sentiment score
7.4
Azure Data Factory is scalable and cloud-native, suitable for medium to large projects, despite some integration limitations.
Sentiment score
7.2
OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.
consultant at tcs
OpenText Analytics Database (Vertica) has very good scalability.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
OpenText Analytics Database (Vertica) can scale to a great extent.
Analytics Manager at a wholesaler/distributor with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
Azure Data Factory is reliable, with minor connection issues and improved stability, despite occasional backward compatibility changes.
Sentiment score
7.2
OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
OpenText Analytics Database (Vertica) is very stable.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Room For Improvement

Azure Data Factory requires better integration, user interface, pricing, real-time processing, connectors, and improved compatibility with Azure services.
OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Sr. Technical Architect at Hexaware Technologies Limited
There is a problem with the integration with third-party solutions, particularly with SAP.
Solution Architect at Mercedes-Benz AG
Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.
consultant at tcs
Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Setup Cost

Azure Data Factory pricing is complex, varying with data usage and integrations, leading to unpredictable monthly costs.
OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Valuable Features

Azure Data Factory excels with scalability, ease of use, robust data transformations, seamless orchestration, and extensive connector support.
OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.
consultant at tcs
The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Categories and Ranking

Azure Data Factory
Ranking in Cloud Data Warehouse
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Data Integration (3rd)
OpenText Analytics Database...
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Warehouse (6th)
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 5.4%, down from 8.5% compared to the previous year. The mindshare of OpenText Analytics Database (Vertica) is 5.5%, up from 5.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Azure Data Factory5.4%
OpenText Analytics Database (Vertica)5.5%
Other89.1%
Cloud Data Warehouse
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Director at a computer software company with 1,001-5,000 employees
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
9%
Government
6%
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
7%
Marketing Services Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise57
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise42
 

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?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) can be improved by adding some more features in analytics. OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which featu...
 

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. OpenText Analytics Database (Vertica) and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.