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Firebolt vs Microsoft Azure Synapse Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Firebolt
Ranking in Cloud Data Warehouse
14th
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
91
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.6%, down from 0.7% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 8.9%, down from 13.8% 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.
Sunil Gidwani - PeerSpot reviewer
No competitors provide the entire solution to one place
I rate Azure Synapse Analytics eight out of 10. No competitors provide the entire solution to one place like Synapse. For example, a database just focuses moving and manipulating data, etc. But Synapse is like an all-inclusive workspace. I advise other people to go with Databricks Notebook if you need a computation engine. It has a solid SQL storage procedure. Suppose you are dealing with complex transformation logic and manipulation of run-time data flows. In that case, it's better to use Databricks than any Microsoft ADF. DataBricks looks more promising in terms of computing in memory, so we integrated Databricks in Synapse.

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."
"I like the keynotes and their simplicity. Like other Microsoft products, Microsoft Azure Synapse Analytics is simple to understand and use."
"Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to."
"The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage."
"We use Azure Synapse Analytics in many different areas and industries, so I like that you can administrate and create pipelines for difference sources of data and later integrate and deploy it to other internal areas, such as separate dashboards for financials, and so on."
"I love the way all the application resources from Microsoft can synchronize, help me with a lot of stuff, and reduce the time or hour of having maybe a resource for an hour a day while also being able to use artificial intelligence."
"Fills the gap between big data and classic data warehouses."
"They are available on the Cloud, and the platform is very intuitive."
"We have found that it is easy to develop and to do the analytics in the modules of data."
 

Cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."
"In the future, Microsoft Azure Synapse Analytics has the potential to enhance its capabilities by expanding its connectors, specifically with regard to Oracle solutions, such as operating systems. This would involve a comprehensive approach to adding more connectors for both data input and consumption purposes. By doing so, Microsoft Azure Synapse Analytics would be better equipped to meet the diverse needs of its users and achieve greater efficiency in its performance. The provision of more connectors is definitely a crucial area that needs improvement."
"More integration is needed to improve the product for the future."
"We'd, of course, always like to pay less for the service if we can."
"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."
"When I was trying to link services to an SFTP site it was not able to do all the possible encryption that I needed. They can improve by adding more encryption options."
"Real-time integration is hard to do in Microsoft Azure Synapse Analytics."
"Synapse Analytics is generally stable, but its performance can be slow when performing very large datasets."
"Comes with a pretty steep learning curve."
 

Pricing and Cost Advice

Information not available
"I understand that Synapse Analytics' pricing is lower than Informatica's."
"My company pays for the license and I am not sure about the price."
"The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
"I think Microsoft Azure Synapse Analytics is priced well, and I would rate the price at eight out of ten."
"We chose the serverless option for the database which has saved us a lot of money. Our costs are approximately £600 per month."
"Microsoft Azure Synapse Analytics can be costly, however, a cost-effective approach would be to purchase it in advance through reservation for either one or three years. This will significantly reduce the overall expenses incurred."
"This is an expensive solution."
"The product is expensive."
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Top Industries

By visitors reading reviews
Healthcare Company
17%
Computer Software Company
13%
University
9%
Government
6%
Educational Organization
47%
Computer Software Company
7%
Financial Services Firm
6%
Manufacturing Company
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?
The financial aspect, including pricing and cost reduction, is not something I focus on.
 

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
 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: November 2024.
824,053 professionals have used our research since 2012.