

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
I have been self-taught and I have been able to handle all my problems alone.
rating the customer support at ten points out of ten
In the past one and a half years that I have been running with BigQuery, I have not needed to raise any technical support with BigQuery or with Google.
If anything happens in terms of technicalities and I raise a ticket, they address it immediately, irrespective of the SLA agreement.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
It is a 10 out of 10 in terms of scalability.
We have not seen problems with scaling.
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
Most of our functions or jobs are queued due to that.
In the past one and a half years that I have been running with BigQuery, I have not needed to raise any technical support with BigQuery or with Google.
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.
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
In general, if I know SQL and start playing around, it will start making sense.
They are losing business.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
Google platform in general has been quite stable, and we do not see that many outages at resource level or at overall zonal level.
The principal aspect is the creation of Kubernetes clusters.
VMware Tanzu Data Solutions has no limitation. We can meet the maximum customer requirements.
The product is not complex; I do not have to create stored procedures, functions, or views.


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 9 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 11 |
| Large Enterprise | 49 |
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
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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