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Firebolt vs Microsoft Azure Synapse Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Firebolt
Ranking in Cloud Data Warehouse
15th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Microsoft Azure Synapse Ana...
Ranking in Cloud Data Warehouse
2nd
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.4%, up from 0.4% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.5%, down from 10.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Iqbal Hossain Raju - PeerSpot reviewer
Can quickly query it to generate quick results
We have used Snowflake before. We support both. Firebolt has better performance, executing queries much quicker than Snowflake. However, Snowflake has more functionality. Depending on the client's needs, we can recommend the best option. Firebolt is a relatively new technology. Snowflake has many functionalities. Firebolt does not support unloading data to S3. There is no built-in way to do this in Firebolt. Alternatively, the data can be retrieved using API calls and loaded to S3 manually. Data can be unloaded to S3 directly using Snowflake. Firebolt significantly improves our performance over Snowflake because it takes less time to execute queries. This is especially important for our company because we use some KPIs that require fast loading times.
Renee Hoon - PeerSpot reviewer
Scalable performance tuning and optimization for finance and supply chain jobs
We run our finance and supply chain jobs using SQL BW, and we visualize our data loads on Power BI. We are using SQL Data Warehouse for data warehousing In terms of cost savings, we don't need specialization in skills as advanced as Teradata. We used to pay extensive licensing fees for Teradata,…

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."
"This is a stable solution with many functionalities."
"I have been working with Microsoft, and they have been very helpful."
"The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs."
"Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same."
"The most valuable feature is the level of processing power, and being able to complete tasks in parallel."
"The fact that we can ingest from different types of sources, whether they are internal systems or external sources."
"The solution's best feature is its predictive analytics."
"What I found most valuable in Microsoft Azure Synapse Analytics is that it's native only for Azure, so you get better performance and there's no issue. To explain further, many different types of data come, in particular, structured and unstructured data. For audit purposes, there's also unstructured data, so the most important aspect is that with Microsoft Azure Synapse Analytics, you have the capability of using both technologies, meaning that you can use or mix structured and unstructured data which is important. This can also be done in Hadoop, and on other platforms, so you have everything in one place. You don't have to worry about how to manage both structured and unstructured data and where to store information. With Microsoft Azure Synapse Analytics, you can take care of everything, particularly in Azure. The solution also provides you with many features apart from analytics, for example, storage which makes it better."
 

Cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."
"There is a limit on the number of concurrent queries to around 125 for Azure Synapse."
"The linked services can be improved. We can create dynamic linked services to access a lot of databases but only those of the same type. For example, I can use the same linked services to access 11 SQL databases. However, if I have 11 SQL databases and five Oracle databases, I need two dynamic linked services. I cannot do it with only one linked service. The UI also needs to be improved. When I have used Azure Synapse for programming with PySpark, Scala, or .NET, for example, the UI has been unstable. If I open two notebooks for programming, one notebook will queue the session of the other."
"Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved."
"One area that could be improved is the schema management."
"I'd like to see part of the service de-coupled."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."
"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."
 

Pricing and Cost Advice

Information not available
"The solution is subscription-based. You can also pay to use the product as you go."
"The price of the package not expensive and depends on how much it is used."
"Our license is very expensive"
"The pricing is okay. You can pay as you go."
"When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
"They are cost aggressive, and it integrates well with other Microsoft tools."
"The costs are billed such that we pay for what we use, which is a good thing."
"The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
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Top Industries

By visitors reading reviews
No data available
Educational Organization
52%
Computer Software Company
5%
Manufacturing Company
5%
Financial Services Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Firebolt?
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.
What needs improvement with Firebolt?
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.
What advice do you have for others considering Firebolt?
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 ...
How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
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 dat...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?
We use an enterprise-level subscription for Microsoft Azure Synapse Analytics. I would rate our satisfaction with the price around five, as I have not focused much on cost aspects presently.
 

Also Known As

No data available
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
 

Overview

 

Sample Customers

Information Not Available
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: March 2025.
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