We compared Snowflake and Firebolt based on our user's reviews across various parameters. After reading all of the collected data, you can find our conclusion below.
Both Snowflake and Firebolt receive high marks for performance, user-friendliness, and cost-effectiveness, attracting users with their data management solutions. Snowflake is praised for its powerful performance, scalability, and speedy query execution, coupled with a positive customer service experience and a straightforward licensing model. The platform’s ability to handle large workloads and manage numerous concurrent users efficiently stands out, as does its positive return on investment. Firebolt is recognized for its swifter deployment process, exceptional query speeds, and cost-efficiency, made possible by its elastic scalability and intuitive interface. While its documentation and pricing model clarity could be improved, Firebolt's competitive pricing and flexible licensing options are well-received, along with the commendable customer support. Despite their distinct advantages and minor areas for improvement, both platforms excel in enhancing data analytics and operational efficiency for their users.
The summary above is based on 76 interviews we conducted recently with Snowflake and Firebolt users. To access the review's full transcripts, download our report.
"Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results."
"The solution is stable."
"The solution's computing time is less."
"It is very fast and the performance is great."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"The initial setup is very simple."
"Scaling is a big plus point of Snowflake."
"The solution's customer service is good."
"Firebolt's engine takes a long time to start because it needs to make engine calls."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"We are yet to figure out how to integrate tools, such as Liquibase, to release changes to our data warehouse model."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"Every product has room for improvement, although in this case, it needs some broadening of the functionality."
"The data sharing capabilities across business units within the organization should be better."
"Some SQL language functions could be included."
"From the documentation, the black box is not very descriptive. Snowflake does not reveal how exactly the data is processed or sourced."
"There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it."
Firebolt is ranked 14th in Cloud Data Warehouse with 1 review while Snowflake is ranked 1st in Cloud Data Warehouse with 94 reviews. Firebolt is rated 9.0, while Snowflake is rated 8.4. The top reviewer of Firebolt writes "Can quickly query it to generate quick results". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Firebolt is most compared with Microsoft Azure Synapse Analytics and Yellowbrick Cloud Data Warehouse, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation.
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