

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
We earned back our investment in Amazon Redshift within the first year.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.
Documentation that allows anyone with prior knowledge of Redshift or SQL to resolve technical issues.
It's costly when you enable support.
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.
The scalability part needs improvement as the sizing requires trial and error.
We have successfully increased our storage space, which was a smooth process without server crashes before or after scaling.
Most of our functions or jobs are queued due to that.
Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.
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.
Integration with AI features could elevate its capabilities and popularity.
Integration with AI could be a good improvement.
They should bring the entire ETL data management process into Amazon Redshift.
They are losing business.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
It's a pretty good price and reasonable for the product quality.
The cost of technical support is high.
The pricing of Amazon Redshift is expensive.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.
Scalability is also a strong point; I can scale it however I want without any limitations.
Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.
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.
| Product | Mindshare (%) |
|---|---|
| Amazon Redshift | 4.6% |
| VMware Tanzu Data Solutions | 4.8% |
| Other | 90.6% |


| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 11 |
| Large Enterprise | 49 |
Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.
Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.
What are the key features of Amazon Redshift?In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.
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.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.