

VMware Tanzu Data Solutions and Snowflake compete in the data processing and analytics category. Snowflake has an upper hand in features due to its advanced capabilities and scalability.
Features: VMware Tanzu offers features like Massively Parallel Processing (MPP), fast data loading, and advanced procedural language support. Snowflake provides separate computing and storage, extensive data format support, and dynamic resource scaling.
Room for Improvement: VMware Tanzu could improve stability in query results, session management, and integration with newer PostgreSQL features. Snowflake faces challenges with pricing, integration with external tools, and needs enhanced machine learning and ETL capabilities.
Ease of Deployment and Customer Service: VMware Tanzu excels in on-premises and hybrid cloud environments with mixed feedback on support. Snowflake, optimized for cloud-native apps, garners positive reviews for customer service despite some pricing confusion.
Pricing and ROI: VMware Tanzu is cost-efficient due to its open-source nature and low licensing fees. Snowflake's flexible pricing aligns costs with usage, helping optimize expenses despite potential cost concerns.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
We sought this documentation multiple times but faced difficulty in obtaining it.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Most of our functions or jobs are queued due to that.
Snowflake is highly stable and performs well even with large data sets exceeding terabytes, maintaining stability throughout.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
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.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
When it comes to cloud support, the setup cost is very cheap compared to other platforms, such as Oracle or PostgreSQL, which typically require higher costs.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
My experience with pricing, setup cost, and licensing for VMware Tanzu Data Solutions is that it is a bit expensive.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake has contributed to significant cost savings.
The principal aspect is the creation of Kubernetes clusters.
The product is not complex; I do not have to create stored procedures, functions, or views.
| Product | Market Share (%) |
|---|---|
| Snowflake | 10.1% |
| VMware Tanzu Data Solutions | 4.0% |
| Other | 85.9% |


| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 49 |
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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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