VMware Tanzu Data Solutions and Snowflake compete in data management and analytics, with Snowflake often gaining an edge due to its automatic scaling and flexible deployment in public cloud environments.
Features: VMware Tanzu Data Solutions supports Massive Parallel Processing (MPP), data compression, and ANSI Standard SQL, making it suitable for high-performance environments. Snowflake offers automatic scaling, robust ELT capabilities, and the innovative separation of compute and storage, which enhances both performance and cost management.
Room for Improvement: VMware Tanzu Data Solutions could benefit from improved stability during queries, enhanced session management, and integration with big data technologies. Snowflake users suggest transparency in pricing and cost impact, along with enhanced machine learning support and integration abilities.
Ease of Deployment and Customer Service: VMware Tanzu Data Solutions is preferred for on-premises, private, and hybrid cloud setups but faces mixed reviews on technical support. Snowflake, designed for public cloud environments, offers flexible cloud provider deployment with highly praised customer service and technical support.
Pricing and ROI: VMware Tanzu Data Solutions is cost-effective due to its open-source nature and paid support that adds value. Snowflake's pay-as-you-go model is generally appreciated for its cost management, though users often cite the need for clearer pricing and usage transparency.
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.
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.
Most of our functions or jobs are queued due to that.
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.
Cost reduction is one area I would like Snowflake to improve.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
Being able to perform AI and Machine Learning in the same location as the data is quite advantageous.
The product is not complex; I do not have to create stored procedures, functions, or views.
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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