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Azure Data Factory vs VMware Tanzu Data Solutions comparison

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Comparison Buyer's Guide

Executive Summary

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
5.3
Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.
Sentiment score
5.3
VMware Tanzu Data Solutions delivers strong ROI through efficient data management, cost-effectiveness, high performance, stability, and reliability.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Customer Service

Sentiment score
6.2
Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.
Sentiment score
6.4
VMware Tanzu Data Solutions' customer service is inconsistent, with excellent technical support but some concerns in initial contact and complex issues.
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
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
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
Technical Director at STI INFOTECH PVT LTD
I am going to give them a ten out of ten.
Systems Engineer at FNB South Africa
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Scalability Issues

Sentiment score
7.3
Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.
Sentiment score
7.0
VMware Tanzu Data Solutions generally offers high scalability but faces challenges with complex configurations and resource management under heavy loads.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
Most of our functions or jobs are queued due to that.
Sr Data Analytics Consultant at Capgemini
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.
Sentiment score
7.0
VMware Tanzu Data Solutions is stable but faces occasional performance issues under heavy loads or improper configurations.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
Sr Data Analytics Consultant at Capgemini
Broadcom and VMware are doing a great job. They are fast in response.
Systems Engineer at FNB South Africa
 

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.
VMware Tanzu Data Solutions faces scaling, stability, and feature limitations, needing improvements in performance, compatibility, integration, and cost efficiency.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
Simplifying the initial setup and day-to-day operations could reduce the learning curve for new users.
Dev Ops Professional at a manufacturing company with 10,001+ employees
They are losing business.
Technical Director at STI INFOTECH PVT LTD
I think they must ensure compatibility with many cloud technologies, including those from the US and China, to make it more versatile in the future.
Head Advisor Infrastructure Cloud Architect at Adrienutech
 

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.
VMware Tanzu offers cost-effective enterprise pricing with optional paid support, leveraging open-source components for value and flexibility.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
 

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.
VMware Tanzu Data Solutions excels in data handling, scalability, Kubernetes integration, security, and supports various environments and programming languages.
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
The principal aspect is the creation of Kubernetes clusters.
VMware vSphere | Horizon View | Citrix Virtual Apps | Microsoft Intune | Azure | SCCM | Windows 365 at Adecco
Kubernetes native application databases that are managed together allow scaling of application, database, storage, and networking to be automated.
Head Advisor Infrastructure Cloud Architect at Adrienutech
The self-healing feature of VMware Tanzu Data Solutions has helped my team by recreating new instances automatically when particular instances are in a failure state, thereby maintaining the complete environment and reducing downtime.
Dev Ops Professional at a manufacturing company with 10,001+ employees
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Data Integration (6th), Cloud Data Warehouse (6th)
VMware Tanzu Data Solutions
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
89
Ranking in other categories
Database Development and Management (5th), Relational Databases Tools (10th), Data Warehouse (5th), Message Queue (MQ) Software (5th)
 

Featured Reviews

Kunal Das - PeerSpot reviewer
Test Engineer at Happiest Minds Technologies
Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling
If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.
Karthik Shivaram - PeerSpot reviewer
Technical Director at STI INFOTECH PVT LTD
Improved multi-cloud data management has simplified operations and supports seamless Kubernetes
From my perspective, the biggest challenge with VMware right now is the pricing. To be very honest, in many cases I find myself recommending alternative solutions instead of VMware. Even if those alternatives come with a bit more complexity, customers are often more willing to accept that than the current VMware pricing model. In the past, VMware used a socket-based licensing model, which was easier for customers to understand and budget for. Now the shift to a core-based licensing model has significantly increased costs for many environments, especially for organizations running modern high-core CPUs. One positive aspect of the new model is that VMware has bundled several components together. For example, earlier when deploying vSphere, customers also had to purchase vCenter separately for management. Now multiple components are packaged into a single SKU, which simplifies some aspects of procurement and deployment. While this consolidation has its benefits, the overall licensing and commercial costs remain very high. Pricing is not the only issue. I believe Broadcom also needs to reconsider its strategy in light of the current market conditions. The approach they are taking may be strategic from a business perspective, but from what I see in the field, it is leading to lost opportunities. Many customers who previously relied on VMware are now actively exploring alternative virtualization platforms. I’m not sure where this direction will ultimately lead, but based on my experience, it is already affecting adoption. Since you’ve been trying to reach me for some time—and we also had a discussion a couple of years ago—I hope this feedback helps Broadcom understand the current sentiment in the market and potentially make adjustments. Another important concern is the way features are bundled. In many cases, customers only need basic virtualization and high availability capabilities. However, the current packaging often includes additional features that they may not need. A good analogy is that if a customer only needs an entry-level car, we shouldn’t be forced to sell them a Rolls-Royce. VMware could benefit from adopting a more modular or à la carte licensing model, where customers can choose only the components they truly require. For example, if a customer only needs core virtualization functionality, they should be able to purchase just that. This would allow partners and solution providers to better align solutions with customer requirements and position VMware more competitively in the market. Another challenge I want to highlight is the pricing model based on U.S. dollars and the way multi-year licensing is handled. In many enterprise and government projects, customers prefer to commit to three-year or five-year licenses and pay the full amount upfront. However, in approximately 20% of the deals I work on, we lose opportunities because VMware only provides dollar-based pricing for the first year. When it comes to the following years, the contract requires renewals annually rather than allowing a fixed multi-year upfront payment. This approach is particularly problematic for government and public sector customers. Many of them are ready and willing to pay for three or five years in advance, but the current VMware model does not support that structure effectively. Because pricing is tied to the U.S. dollar and subject to yearly adjustments, VMware does not lock in pricing for the full term. From a customer’s perspective, this introduces uncertainty and makes procurement more complicated. Ideally, if a price is quoted—for example, $100 per year—it should remain consistent across a multi-year agreement. Customers would be comfortable committing to a five-year term if the price were fixed and predictable. Unfortunately, that flexibility is currently not available across VMware products, whether it is vSphere, VMware Tanzu solutions, or other offerings. For large enterprise environments, one-year commitments are usually not practical. Many enterprise customers prefer longer-term agreements for budgeting and procurement reasons. Even when they are willing to accept the higher cost associated with the core-based licensing model, the lack of a clear multi-year upfront option often becomes a deal-breaker.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
Outsourcing Company
17%
Construction Company
12%
Financial Services Firm
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise11
Large Enterprise52
 

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...
How does IBM MQ compare with VMware RabbitMQ?
IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocol...
What is your experience regarding pricing and costs for VMware Tanzu GemFire?
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
What needs improvement with VMware Tanzu GemFire?
In terms of weak points in VMware Tanzu Data Solutions, pricing is always the root cause of people not wanting to renew licenses or do any upgrades.
 

Also Known As

No data available
Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres
 

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
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
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