Firebolt vs Snowflake Analytics comparison

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Firebolt Logo
598 views|426 comparisons
100% willing to recommend
Snowflake Computing Logo
493 views|330 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Firebolt and Snowflake Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: April 2024).
769,976 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning.""I am impressed with the product's data-sharing feature.""The performance has been good.""It helps with business intelligence by providing analytics that can be reported.""Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options.""It's not necessary to use a physical server.""The solution auto-scales and it provides concurrency.""Deployment is straightforward as it's a SaaS product. No maintenance required."

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Cons
"Firebolt's engine takes a long time to start because it needs to make engine calls."

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"Snowflake should include a WHERE clause for building data pipelines.""The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises.""Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others.""The product's cost is an area of concern where improvements are required.""Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake.""The solution needs to consider including some updates in the future.""The technical support is not very good.""Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks."

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Pricing and Cost Advice
Information Not Available
  • "Snowflake Analytics is a little more costly than Azure."
  • "When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."
  • "The cost of Snowflake Analytics is low, any small organization can use it."
  • "The solution's price is high and I would rate it an eight out of ten."
  • "On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
  • "It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
  • "The tool is quite expensive."
  • "Snowflake Analytics is not an expensive solution, and its pricing is average."
  • More Snowflake Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer:Firebolt's engine takes a long time to start because it needs to make engine calls. Currently, the data size of Firebolt is small. It can be increased.
    Top Answer:One way to retrieve data from firewalls is to add query parameters to the connection string. For example, you can use the REST API to retrieve the security query. Some firewalls have been deployed to… more »
    Top Answer:The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for… more »
    Top Answer:The pricing is on the higher side. I would rate it seven out of ten.
    Top Answer:The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.
    Ranking
    14th
    Views
    598
    Comparisons
    426
    Reviews
    1
    Average Words per Review
    554
    Rating
    9.0
    6th
    Views
    493
    Comparisons
    330
    Reviews
    30
    Average Words per Review
    486
    Rating
    8.4
    Comparisons
    Learn More
    Firebolt
    Video Not Available
    Overview
    Firebolt is a cloud-native data warehouse that enables organizations to process massive amounts of data at lightning-fast speeds. This is achieved through its unique architecture that utilizes a cloud-native approach, allowing for elastic scaling and parallel processing. 

    Firebolt helps organizations with a scalable and cost-effective solution for their data warehousing needs. It eliminates the need for expensive hardware and maintenance costs associated with traditional data warehouses. Firebolt's real-time analytics capabilities also enable businesses to make data-driven decisions quickly, giving them a competitive edge in their respective industries.

    Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

    To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

    Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

    Sample Customers
    Information Not Available
    Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company12%
    Healthcare Company11%
    Government8%
    Recreational Facilities/Services Company7%
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm31%
    Outsourcing Company15%
    Retailer8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm9%
    Manufacturing Company9%
    Retailer8%
    Company Size
    VISITORS READING REVIEWS
    Small Business35%
    Midsize Enterprise9%
    Large Enterprise56%
    REVIEWERS
    Small Business22%
    Midsize Enterprise25%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise18%
    Large Enterprise63%
    Buyer's Guide
    Cloud Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: April 2024.
    769,976 professionals have used our research since 2012.

    Firebolt is ranked 14th in Cloud Data Warehouse with 1 review while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. Firebolt is rated 9.0, while Snowflake Analytics 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 Analytics writes "A scalable tool useful for data lake and data mining processes". Firebolt is most compared with Snowflake, Microsoft Azure Synapse Analytics, Yellowbrick Cloud Data Warehouse and Amazon Redshift, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud 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.