Firebolt vs Teradata comparison

Firebolt and Teradata are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #16, while Teradata is ranked #3 with an average rating of 7.7. Firebolt holds a 1.7% mindshare in CDW, compared to Teradata’s 8.4% mindshare. Additionally, 100% of Firebolt users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

Firebolt

Read 1 Firebolt review

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365 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

11,391 Views
2,392 Comparison Views

88% willing to recommend

Firebolt

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 4, 2026

Teradata and Firebolt are both key players in the data warehousing and analytics market. Firebolt appears to have an edge in performance because of its cloud-native architecture and faster query execution, while Teradata stands out with its strong data integration capabilities and customer support.

Features: Teradata offers comprehensive analytical capabilities, deep integration with legacy systems, and robust handling of large volumes of data. Firebolt leads in speed and scalability, utilizing unique indexing and query execution methods for cutting-edge real-time analytics performance. These distinctive strengths make each product appealing based on specific business needs.

Ease of Deployment and Customer Service: Teradata provides a well-established deployment model for large-scale implementations with extensive guidance and strong customer support. Firebolt offers faster implementation with a streamlined, cloud-based deployment, which requires customers to adapt existing processes. Teradata's comprehensive support structure contrasts with Firebolt's agile and modern approach.

Pricing and ROI: Teradata generally incurs higher initial setup costs, reflecting its enterprise-grade capabilities and support structures, often leading to significant long-term ROI for complex data solutions. Firebolt, with cloud-native pricing models, offers lower upfront costs with a focus on performance ROI through optimized resource usage, making it attractive for growth-oriented businesses.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: January 2026).

Buyer's Guide

Cloud Data Warehouse

January 2026

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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

16th

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

3rd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (17th), Data Integration (14th), Relational Databases Tools (6th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (5th), Database Management Systems (DBMS) (6th)

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of Firebolt is 1.7%, up from 0.5% compared to the previous year. The mindshare of Teradata is 8.4%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Teradata	8.4%
Firebolt	1.7%
Other	89.9%

Cloud Data Warehouse

Featured Reviews

Iqbal Hossain Raju

Junior Software Engineer at a healthcare company with 10,001+ employees

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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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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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 performance is great, we are able to query our data in one operation."

"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 running queries."

"The functionality of the solution is excellent."

"It's very mature from a technology perspective."

"It's very, very fast"

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"The flexibility in design is very good."

More Teradata pros

Cons

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

"Teradata hardly supports unstructured data or semi-structured data"

"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

"Teradata could be improved by having a web interface that can really help users to plug and play."

"Needs compatibility with more Big Data platforms."

"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"One challenge I have faced regarding the main use case is the integration with AI, as Teradata does not have the AI models that other OLAP systems such as BigQuery provide, making it difficult for us to give proper recommendations without using different tools for AI integration."

More Teradata cons

Pricing and Cost Advice

Information not available

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"The cost of running Teradata is quite high, but you get a good return on investment."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

"Teradata is a very expensive solution."

"The solution requires a license."

"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

23%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

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Earn 20 points

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...

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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...

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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,...

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Comparisons

Snowflake vs Firebolt

Compared 42% of the time

Databricks vs Firebolt

Compared 17% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 11% of the time

Amazon Redshift vs Firebolt

Compared 10% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 10% of the time

More Firebolt Competitors

Snowflake vs Teradata

Compared 6% of the time

Oracle Exadata vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 4% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

January 2026

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Buyer's Guide

Teradata

January 2026

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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, Teradata Vantage Enterprise (DIY)

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 powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Sample Customers

Information Not Available

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