We compared Snowflake and VAST Data based on our users reviews in five parameters. After reading the collected data, you can find our conclusion below:
Comparison Results: Snowflake is praised for its easy setup, valuable features, and good customer service. However, it needs improvement in areas like pricing transparency, data integration, user interface, and documentation. On the other hand, VAST Data is commended for its simple and efficient setup, strong failover capability, and good customer service. It could benefit from enhancing its read/write ratio. The pricing perception and user ROI differ for both products.
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"It is a very well-distributed system. It has different data engines for different applications. Many applications can use different computational engines at the same time. In terms of data processing, the feeling was similar to working with a relational database but in a scalable way."
"Can be leveraged with respect to better performance, auto tuning and competition."
"The solution is easy to use."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"The product's most important feature is unloading data to S3."
"Data Science capabilities are the most valuable feature."
"The most valuable features of Snowflake are its performance and power."
"The solution is useful for machine learning and scientific applications, including computer simulations."
"This has been one of the most reliable storage systems that I have ever used."
"I can only access Snowflake from the web. It would be better if we could have an app that we can install locally on our laptops to connect to the server without needing to go to the web page. Apart from that, it's hard to point out any limitations in the tool."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"There is a need for improvements in the documentation, this would allow more people to switch over to this solution."
"There could be better ELT tools that are appropriate for Snowflake. We decided on Matillion and it seemed to be the only one. There need to be better choices, it would be great if Snowflake provided an ELT solution that people could use. Additionally, if there was a pure cloud-based ELT tool it would be useful."
"Snowflake could improve if they had an Operational Data Store(ODS) space."
"There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source."
"The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic."
"It doesn't enforce typical relational database constraints. Quite expensive."
"The read/write ratio is an area in the solution with some flaws and needs improvement."
"The write performance could be improved because it is less than half of the read performance."
Snowflake is ranked 1st in Data Warehouse with 94 reviews while VAST Data is ranked 8th in NVMe All-Flash Storage Arrays with 2 reviews. Snowflake is rated 8.4, while VAST Data is rated 10.0. The top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". On the other hand, the top reviewer of VAST Data writes "Stability-wise, a device that has been up and running for years". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation, whereas VAST Data is most compared with Pure Storage FlashBlade, NetApp AFF, Pure Storage FlashArray, Qumulo and DDN Storage Fusion Architecture NVMe.
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.