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 a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"The solution's customer service is good."
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"It is very fast and the performance is great."
"Snowflake has three great features: Snowpiping is proving to be very valuable, Time Travel is excellent, and Snowpipes are another great functionality the solution has made available."
"The initial setup is very simple."
"The most valuable feature is the clone copy."
"The pricing is reasonable and matches the rest of the market."
"Firebolt's engine takes a long time to start because it needs to make engine calls."
"It would be better if they had a data profile tool that tells me where the gaps are in my time series data."
"The cost of the solution could be reduced."
"If you go with one cloud provider, you can't switch."
"It's difficult to know how to size everything correctly."
"The cost is a bit high."
"Room for improvement would be writebacks. It doesn't support extensively writing back to the database, and it doesn't support web applications effectively. Ultimately, it's a database call, so if we are building web applications using Snowflake, it isn't that effective because there is some turnaround time from the database."
"Product activation queries can't be changed while executing."
"The data science functionality could be improved in terms of the machine learning process."
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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