Firebolt vs Teradata comparison

Firebolt and Teradata are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #15 with an average rating of 9.0, while Teradata is ranked #4 with an average rating of 7.3. Firebolt holds a 0.7% mindshare in CDW, compared to Teradata’s 8.7% mindshare. Additionally, 100% of Firebolt users are willing to recommend the solution, compared to 87% of Teradata users who would recommend it.

Firebolt

Read 1 Firebolt review

290 Views
287 Comparison Views

100% willing to recommend

Teradata

Read 76 Teradata reviews

10,603 Views
2,969 Comparison Views

87% willing to recommend

Firebolt

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Teradata and Firebolt are competing in the database management systems category. Firebolt demonstrates an edge due to its advanced performance features.

Features: Teradata provides high-performance data warehousing, advanced analytics, and real-time processing for large scale operations, with strong integration capabilities. Firebolt focuses on high-speed querying and analytics, efficient storage, rapid query processing, and scalability.

Ease of Deployment and Customer Service: Teradata is recognized for its mature deployment model and comprehensive customer support, enabling seamless integration. Firebolt's cloud-native architecture allows easy deployment, scaling with demand, along with an intuitive setup for quick start-up and flexible management.

Pricing and ROI: Teradata involves higher initial setup costs, offering significant ROI for businesses utilizing its features and scalability. Firebolt's initial costs may be lower, presenting high performance at a scalable price, optimizing cost-efficiency and promising competitive long-term value with efficient resource utilization.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: August 2025).

Buyer's Guide

Cloud Data Warehouse

August 2025

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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

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Cloud Data Warehouse

4th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (7th), Backup and Recovery (22nd), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (14th), Marketing Management (5th)

Mindshare comparison

As of September 2025, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.7%, up from 0.4% compared to the previous year. The mindshare of Teradata is 8.7%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Teradata	8.7%
Firebolt	0.7%
Other	90.6%

Cloud Data Warehouse

Featured Reviews

Iqbal Hossain Raju

Junior Software Engineer at IQVIA

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.

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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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."

"The flexibility in design is very good."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"The most valuable feature is the ease of uploading data from multiple sources."

"It has massive parallel processing ability to do large amounts of concurrent querying."

"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."

"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."

More Teradata pros

Cons

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

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

"Teradata can improve the way it handles big data and unstructured data."

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

"Teradata is a bit late for the cloud."

"It could use some more advanced analytics relating to structured and semi-structured data."

"When backups are performed, it locks the database, preventing user access, which is a concern."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"They should add more connectors to different platforms."

More Teradata cons

Pricing and Cost Advice

Information not available

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"Teradata used to be expensive, but they have been lowering their prices."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"The solution requires a license."

"Teradata is currently making improvements in this area."

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

25%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	49

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.

See all answers

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.

See all answers

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 ...

See all answers

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

See all answers

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

See all answers

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

See all answers

Comparisons

Snowflake vs Firebolt

Compared 100% of the time

More Firebolt Competitors

Oracle Exadata vs Teradata

Compared 12% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

August 2025

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Buyer's Guide

Teradata

August 2025

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Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

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.

Firebolt

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Teradata

Sample Customers

Information Not Available

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