Firebolt vs Teradata comparison

Why PeerSpot?

Firebolt and Teradata are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #18, while Teradata is ranked #5 with an average rating of 8.3. Firebolt holds a 2.4% mindshare in CDW, compared to Teradata’s 9.1% 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

1,008 Views
887 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

23,951 Views
3,593 Comparison Views

88% willing to recommend

Firebolt

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Firebolt are key players in data analytics and management. Firebolt takes a lead with its innovative architecture and outstanding performance, especially for intensive analytical workloads.

Features: Teradata offers scalability, mature analytics capabilities, and is suitable for enterprises with extensive data management needs. It emphasizes comprehensive analytics suites. Firebolt features cutting-edge query performance, built-in support for semi-structured data, and speed, making it suitable for real-time processing and rapid analytics at scale.

Ease of Deployment and Customer Service: Teradata has a traditional deployment model with extensive customer support options to aid large organizations needing structured implementation. Firebolt's cloud-native architecture simplifies deployment and allows for immediate scalability, with customer service focused on agile problem-solving.

Pricing and ROI: Teradata provides flexible pricing models catering to enterprise budgets, potentially yielding significant ROI through its in-depth analytics offerings. Firebolt's pricing reflects its focus on performance and efficiency, often justifying higher initial costs due to quicker actionable insights and value generation.

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

Buyer's Guide

Cloud Data Warehouse

September 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

18th

Average Rating

9.0

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Cloud Data Warehouse

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (21st), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Database Management Systems (DBMS) (6th)

Mindshare comparison

As of October 2026, in the Cloud Data Warehouse category, the mindshare of Firebolt is 2.4%, up from 0.8% compared to the previous year. The mindshare of Teradata is 9.1%, up from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Teradata	9.1%
Firebolt	2.4%
Other	88.5%

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."

"Auto-partitioning and indexing, and resource allocation on the fly are key features."

"The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product."

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."

"BTEQ is the best feature of Teradata, as it allows me to execute multiple queries such as select, insert, update, and delete in a single script, handle errors, automate running multiple SQL statements, and schedule ETL jobs, making it lightweight and scriptable, unlike SQL Assistant."

"We switched because of TD distributed architecture and it is the best product for EDW."

"The tool's most valuable feature is the warehousing model."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"Designing the database is easy."

More Teradata pros

Cons

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

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

"There is some improvement required on OLTP level and some analytical function is missing."

"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."

"I truly believe that in five years, we will breach the effective limits of Teradata to perform in a multi-petabyte environment, i.e., without significant changes to its underlying architecture."

"The following could be better: licensing, architecture openness, integration with other tools."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

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."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"The solution requires a license."

"Teradata is not cheap, but you get what you pay for."

"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."

"It's a very expensive product."

"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."

"Teradata is currently making improvements in this area."

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

17%

Outsourcing Company

10%

Manufacturing Company

Construction Company

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	53

Questions from the Community

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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 26% of the time

Snowflake Analytics vs Firebolt

Compared 20% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 16% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 15% of the time

OpenText Analytics Database (Vertica) vs Firebolt

Compared 3% of the time

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Oracle Database vs Teradata

Compared 3% of the time

Snowflake vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 2% of the time

Databricks vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

September 2026

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Buyer's Guide

Teradata

September 2026

Download Teradata product report

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 caters to data-driven enterprises by delivering fast, efficient analytics that handle large-scale data with ease. It optimizes performance for high-stakes queries, making it an asset for businesses seeking data insight.

Firebolt offers a cloud data warehouse designed for exceptional speed and scalability. Its ability to execute heavy queries rapidly without sacrificing granular insights sets it apart. Built to handle concurrent queries and deliver high performance, Firebolt is a modern solution valued by businesses for its capability to transform extensive datasets into actionable intelligence. Users find it particularly adept at reducing query and processing times.

What are the key features of Firebolt?

Columnar Storage: Supports efficient data retrieval and storage, ensuring swift access to large datasets.
In-memory Computing: Boosts performance by utilizing in-memory storage for frequently accessed data.
Elastic Scaling: Adapts to workload demands, offering flexibility and cost-efficient resource management.
SQL Support: Comprehensive SQL interface that facilitates complex queries and data manipulation.
Workload Isolation: Ensures consistent performance by isolating different workloads.

Why consider Firebolt for your ROI?

Reduced Query Time: Accelerates data processing, lowering time-to-insight for quicker decision-making.
Cost Efficiency: Efficient resource usage minimizes operational costs, maximizing value.
Scalability: Grows with business needs without compromising performance.
Simplicity: Streamlined architecture simplifies data management and integration.

Firebolt's implementation spans industries such as finance, e-commerce, and healthcare, where fast data processing is crucial. Financial analysts rely on it for quick access to historical data, enabling timely insights. E-commerce platforms benefit from its ability to handle high transaction volumes and customer behavior analytics, while healthcare industries utilize its capacity to process large volumes of medical data, providing timely insights for patient care and research advancements.

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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