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."
"It is very fast and the performance is great."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"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."
"The most valuable feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"A user-friendly and reliable solution."
"Working with Parquet files is support out of the box and it makes large dataset processing much easier."
"The tool is very easy to use. The solution’s desktop features are also very easy to use. Also, the product’s SQL-based connectivity is also good. It can connect with any tool."
"Snowflake's most valuable features are data enrichment and flattening."
"Firebolt's engine takes a long time to start because it needs to make engine calls."
"Pricing is an issue for many customers."
"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."
"Some SQL language functions could be included."
"The design of the product is easily misunderstood."
"The cost is a bit high."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"It's not that flexible when compared to Oracle."
"Snowflake has support for stored procedures, but it is not that powerful."
Firebolt is ranked 14th in Cloud Data Warehouse with 1 review while Snowflake is ranked 1st in Cloud Data Warehouse with 92 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, Yellowbrick Cloud Data Warehouse and Amazon Redshift, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation.
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