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Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
On a scale of one to ten, I would rate the technical support as nine.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
I am going to give them a ten out of ten.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
Azure Data Factory is highly scalable.
I did not experience scalability issues.
Most of our functions or jobs are queued due to that.
The solution has a high level of stability, roughly a nine out of ten.
It gives me the accurate result.
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
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.
Broadcom and VMware are doing a great job. They are fast in response.
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.
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.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Simplifying the initial setup and day-to-day operations could reduce the learning curve for new users.
They are losing business.
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.
The pricing is cost-effective.
It is considered cost-effective.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
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.
The principal aspect is the creation of Kubernetes clusters.
Kubernetes native application databases that are managed together allow scaling of application, database, storage, and networking to be automated.
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.


| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 21 |
| Large Enterprise | 64 |
| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 11 |
| Large Enterprise | 52 |
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.
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
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