Firebolt vs Microsoft Azure Synapse Analytics comparison

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Firebolt Logo
598 views|426 comparisons
100% willing to recommend
Microsoft Logo
16,714 views|7,803 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Firebolt and Microsoft Azure Synapse 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).
770,141 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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"The pricing seems to be quite fair.""The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.""The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.""I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works.""It's scalable; you can scale up and scale down.""The whole solution is interesting for us.""The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.""The most important feature for me is the integration with PolyBase."

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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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"Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved.""Adding more transformations and plugins to the solution is very important.""They should automate some of the features. There are some things, such as the creation of external tables, that you have to do manually. They should be automated.""Its stability is an issue. They have been releasing a version every six months to one year, which means that there are many versions available, and clients are not up to speed on the latest one that they're offering. From a stability point of view, they could do better. They're still upgrading their Synapse Analytics workspace, and it is not that stable. Its scalability can also be better.""The support and price could improve.""The only concern for us is the cost part. When it comes to the implementation and the support and maintenance, we see high-cost implications.""Integration with other products is an area that can be improved.""It needs strong support for social media, internet data, and native support for NoSQL."

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Pricing and Cost Advice
Information Not Available
  • "The price of this solution could be improved."
  • "The pricing is okay. You can pay as you go."
  • "This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version."
  • "When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
  • "The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • More Microsoft Azure Synapse 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:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:It is a highly stable solution and it's easy to use.
    Ranking
    14th
    Views
    598
    Comparisons
    426
    Reviews
    1
    Average Words per Review
    554
    Rating
    9.0
    2nd
    Views
    16,714
    Comparisons
    7,803
    Reviews
    36
    Average Words per Review
    457
    Rating
    8.0
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    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.

    Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

    Microsoft Azure Synapse Analytics is built with these 4 components:

    1. Synapse SQL
    2. Spark
    3. Synapse Pipeline
    4. Studio

    Microsoft Azure Synapse Analytics Features

    Microsoft Azure Synapse Analytics has many valuable key features, including:

    • Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.

    • Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.

    • Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.

    • Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.

    • Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.

    • Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

    Microsoft Azure Synapse Analytics Benefits

    Some of the benefits of using Microsoft Azure Synapse Analytics include:

    • Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.

    • Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.

    • Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.

    • Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.

    • Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.

    • Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

    PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

    Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

    A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."


    Sample Customers
    Information Not Available
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company12%
    Healthcare Company11%
    Government8%
    Recreational Facilities/Services Company7%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Educational Organization32%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business35%
    Midsize Enterprise9%
    Large Enterprise56%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise46%
    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.
    770,141 professionals have used our research since 2012.

    Firebolt is ranked 14th in Cloud Data Warehouse with 1 review while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews. Firebolt is rated 9.0, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of Firebolt writes "Can quickly query it to generate quick results". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Firebolt is most compared with Snowflake, Yellowbrick Cloud Data Warehouse and Amazon Redshift, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata.

    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.