VMware Tanzu Data Solutions and Snowflake both operate in the competitive data solutions category. Snowflake seems to have the upper hand due to its strong performance features and comprehensive capabilities that enhance data management and scalability.
Features: VMware Tanzu Data Solutions is notable for its effective handling of external tables, data compression, and its robust MPP architecture that supports high-performance parallel processing. Snowflake excels in data enrichment features, ease of scalability, integration capabilities with flat files, and its advanced data exchange features.
Room for Improvement: VMware Tanzu Data Solutions needs better query result stability, requires improvements in session management, and enhanced integration with modern tech stacks. It also encounters challenges with high load performance and lacks compatibility with new PostgreSQL features. Snowflake can enhance its cost transparency, improve integration with external systems, and expand its AI and machine learning functionalities.
Ease of Deployment and Customer Service: VMware Tanzu Data Solutions offers deployment flexibility with on-premises and hybrid cloud options, making it adaptable to varied infrastructures with strong support from VMware. Snowflake focuses on public cloud deployment, providing seamless integration with major platforms, backed by highly responsive customer service and efficient technical support.
Pricing and ROI: VMware Tanzu Data Solutions is cost-effective due to its open-source nature coupled with affordable paid support. It offers valuable orchestration features that drive ROI. Snowflake's flexible pay-as-you-go pricing model can be expensive due to high computational costs, yet its feature set and reliable performance offer justification for the pricing to many users.
I have seen a return on investment with VMware Tanzu Data Solutions because of its speed and the robustness of the environment.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
The technical support from Snowflake is very good, nice, and efficient.
Customer support for VMware Tanzu Data Solutions has been good with me and with VMware, including Broadcasts.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Snowflake is very scalable and has a dedicated team constantly improving the product.
Most of our functions or jobs are queued due to that.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Snowflake is very stable, especially when used with AWS.
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.
Cost reduction is one area I would like Snowflake to improve.
VMware Tanzu Data Solutions can be improved as it is better and faster for administration and clusters, Dockers, and Kubernetes.
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.
The independence of the compute and storage within Snowflake is key.
One key feature is the separation of compute and storage, which eliminates storage limitations.
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 | 11.6% |
| VMware Tanzu Data Solutions | 4.0% |
| Other | 84.4% |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 20 |
| Large Enterprise | 57 |
| 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?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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