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 features of Snowflake are that you have to pay per usage, and you don't have to worry about the maintenance of the data warehouse because it is on the cloud."
"The technical support is pretty good, particularly if you are a more technical user."
"The solution speeds up the process of onboarding."
"The features I found most valuable with this solution are sharing options and built-in time zone conversion."
"For us, the virtual warehousing is likely the most valuable aspect."
"This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere."
"The snapshot feature is good, the rollback feature is good and the interface is user-friendly."
"The querying speed is fast."
"This has been one of the most reliable storage systems that I have ever used."
"The solution is useful for machine learning and scientific applications, including computer simulations."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
"Getting data out of the tool to third-party applications is difficult."
"Currently, Snowflake doesn't support unstructured data."
"I would like to see a client version of the GUI."
"Its stability could be better."
"The product's performance could be improved."
"The complexity of the initial setup of Snowflake depends on the use case. However, Snowflake itself, we don't set it up. The difficulty comes from the ingestion patterns, depending on what data I'm putting in, what kind of enrichment, and what additional value we have to add. However, it does tend to get complex because we have a lot of semi-structured data which we need to handle in Snowflake. There have been some challenges."
"We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model."
"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.