Dremio vs Teradata comparison

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Dremio and Teradata are both solutions in the Cloud Data Warehouse category. Dremio is ranked #10 with an average rating of 8.1, while Teradata is ranked #5 with an average rating of 8.3. Dremio holds a 4.3% mindshare in CDW, compared to Teradata’s 9.2% mindshare. Additionally, 100% of Dremio users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

Dremio

Read 14 Dremio reviews

4,948 Views
2,128 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

26,021 Views
3,903 Comparison Views

88% willing to recommend

Dremio

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 15, 2026

Teradata and Dremio compete in the data warehousing and analytics space. Teradata appears to have the upper hand in speed and efficiency with massive data processing, whereas Dremio offers superior flexibility and integration capabilities.

Features: Teradata is renowned for its capability to manage massive parallel processing and handle complex queries swiftly and efficiently. Its shared-nothing architecture and scalability enable easy data migration and large data set processing. Dremio stands out in providing a flexible, federated query approach that integrates well with various data sources, showcasing strengths in data cataloging and visualization.

Room for Improvement: Teradata could reduce its high costs, streamline setup processes, and enhance integration capabilities with cloud-based solutions. It also needs improvements in handling unstructured data and scalability. Dremio requires enhancements in query performance for complex queries and improved community support. Enhancing data connectors could further leverage its integration potential.

Ease of Deployment and Customer Service: Teradata offers a robust mix of deployment options, including on-premises and cloud, with reliable support, although response times vary. Dremio, appreciated for its easier deployment on hybrid and public clouds, faces challenges with community engagement and support consistency.

Pricing and ROI: Teradata, though critiqued for high costs, delivers significant ROI especially in large-scale projects, with recommendations to negotiate pricing models. Dremio offers a more cost-effective solution compared to some competitors, yet licensing for scaling presents challenges. Teradata achieves robust ROI through performance, while Dremio offers affordable solutions but faces licensing hurdles.

To learn more, read our detailed Dremio vs. Teradata Report (Updated: September 2026).

Buyer's Guide

Dremio vs. Teradata

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:

ROI

Sentiment score

4.0

Dremio offers cost savings and efficiency by reducing infrastructure needs and simplifying data source integration on data lakes.

Sentiment score

6.9

Teradata significantly boosts speed, efficiency, and ROI, with studies showing a 427% average ROI over three years.

Dremio surely saves time, reduces costs, and all those things because we don't have to worry so much about the infrastructure to make the different tools communicate.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

For more quotes and insights, download the Teradata report

Customer Service

Sentiment score

6.1

Dremio's customer service is highly praised for responsiveness, with Gold plan users enjoying positive interactions despite some limitations.

Sentiment score

7.1

Teradata's support is praised for professionalism and responsiveness, but feedback on speed is mixed; training resources enhance service.

I would rate customer support a ten out of ten.

reviewer2913786

Director

We contact the technical support at least weekly; currently, it's more or less daily because we face performance issues, crashes of queries sometimes, and we also need support for configuration of the query engines and so on.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

We have had to reach out for customer support many times, and they respond, so they are pretty supportive about some long-term issues.

Corrr Moray

SR BI developer at BRQ Digital Solutions

For more quotes and insights, download the Dremio report

The customer support for Teradata has been great.

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

They are responsive and knowledgeable, and the documentation is very helpful.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Teradata's customer support was excellent.

Sanooj Mananot

CEo at CloudPositive

For more quotes and insights, download the Teradata report

Scalability Issues

Sentiment score

7.3

Dremio's scalability excels, with user-configurable auto-scaling on Kubernetes/Docker, meeting large-scale needs, but some features require licensing.

Sentiment score

7.5

Teradata offers scalable cloud and on-premise solutions with strong adaptability, overcoming hardware limitations and cost challenges efficiently.

Dremio's scalability can handle growing data and user demands easily.

Corrr Moray

SR BI developer at BRQ Digital Solutions

Internally, if it's on Docker or Kubernetes, scalability will be built into the system.

KamleshPant

Senior Software Architect at USEReady

Dremio's scalability depends on your hardware and your deployment.

reviewer2913786

Director

For more quotes and insights, download the Dremio report

Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

The scalability of Teradata is flawless.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

For more quotes and insights, download the Teradata report

Stability Issues

Sentiment score

7.2

Dremio users report stable performance overall, despite occasional memory leaks, scalability issues, and the need for frequent monitoring.

Sentiment score

8.3

Teradata's robust architecture ensures exceptional stability and reliability, with minimal downtime and high user ratings despite some integration challenges.

I rate Dremio a nine in terms of stability.

Corrr Moray

SR BI developer at BRQ Digital Solutions

We refactored the query, and that worked, but it still doesn't make you confident to go to production with a product that might crash depending on the query you send it.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio report

Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Teradata is stable.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

For more quotes and insights, download the Teradata report

Room For Improvement

Dremio users face issues with performance, connectors, learning curve, and desire better integration and schema flexibility.

Teradata requires improvements in transaction processing, scalability, UI, cost-effectiveness, analytics features, integration capabilities, and security measures.

Starburst comes with around 50 connectors now.

KamleshPant

Senior Software Architect at USEReady

Before we wrap up, I want to add that Dremio is lacking a semantic layer in a manner that the user can just choose dimensions, metrics, and filters to query the data.

reviewer2913786

Director

It should be easier to get Arctic or an open-source version of Arctic onto the software version so that development teams can experiment with it.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

For more quotes and insights, download the Dremio report

I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.

Ganesh Verma

Data Engineer at Tredence Inc.

The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

If the same thing were available in a web interface, that would be really helpful.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

For more quotes and insights, download the Teradata report

Setup Cost

Dremio offers cost-effectiveness but licensing is costly, leading some users to prefer the community version for scalability.

Teradata offers high-value analytics with flexible pricing, excelling in performance and ROI, ideal for large enterprises and data-intensive sectors.

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

I had a good experience with pricing, as the pricing seems okay to me and the client.

reviewer2913786

Director

Dremio does have a core of the engine that is open-source, but all the important features for the enterprise version are under license.

Baptiste Bergelin

Data Architect at a consultancy with 51-200 employees

For more quotes and insights, download the Dremio report

Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

We spent roughly $295,000 on setup costs.

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

I found Teradata to be somewhat costlier when considering other options.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

For more quotes and insights, download the Teradata report

Valuable Features

Dremio excels in data virtualization, federated queries, and integration, enhancing data management and access with efficient tools.

Teradata excels in parallel processing, scalability, and performance, offering robust data management, security, and integration for efficient data warehousing.

Having everything under one system and an easier-to-work-with interface, along with having API integrations, adds significant value to working with Dremio.

reviewer2769915

Data Consultant at a comms service provider with 201-500 employees

Dremio has positively impacted my organization as nowadays we are connected to multiple databases from multiple environments, multiple APIs, and applications, and Dremio organizes everything in an amazing way for me.

Joao Silveira

Data Analyst at a insurance company with 501-1,000 employees

Multiple data sources can be queried in one query, and it is not just a query engine.

Burak Uğur

Data Engineer at a tech services company with 201-500 employees

For more quotes and insights, download the Dremio report

Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.

Kirk Robinson

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.

David Durand Velásquez

Engineers at a consultancy with 11-50 employees

It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

For more quotes and insights, download the Teradata report

Categories and Ranking

Dremio

Ranking in Cloud Data Warehouse

10th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Science Platforms (9th)

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 (9th), Backup and Recovery (23rd), Data Integration (23rd), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (15th), Marketing Management (6th), Database Management Systems (DBMS) (8th)

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of Dremio is 4.3%, down from 7.8% compared to the previous year. The mindshare of Teradata is 9.2%, up from 8.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Teradata	9.2%
Dremio	4.3%
Other	86.5%

Cloud Data Warehouse

Featured Reviews

Corrr Moray

SR BI developer at BRQ Digital Solutions

Has simplified complex data integration workflows and supported consistent reporting across multiple sources

We also have a close relationship with the team that does the Dremio maintenance for the database, like upgrading the versions and they know about some specific problems we had in the past, such as a memory leak. We had a memory leak on some versions, which sometimes stopped the service. Since we are using Dremio installed like a server, not a SaaS solution, many times we need to stop and restart the service to clear all the cache and all that, and this is the thing I should add. I see that many times the new versions of Dremio have not fixed old bugs, and in some new versions, old problems that were previously fixed come back again, so I think the upgrade part could use improvement. I remember using some features in the past, like pivot tables, which proved to be really difficult, but I know this is a fault also for other vendors. Pivoting, transposing, and unpivoting are often not so good. CTEs also many times prove to be not so good, so I think these two main items could be improved significantly if they standardize them.

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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.

Read full review

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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

Financial Services Firm

22%

Outsourcing Company

Comms Service Provider

Manufacturing Company

Financial Services Firm

16%

Outsourcing Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	6
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

Questions from the Community

What is your experience regarding pricing and costs for Dremio?

I chose eight out of ten because Dremio is expensive for the Enterprise version, particularly regarding licensing.

See all answers

What needs improvement with Dremio?

I think Dremio can be improved to query faster than multiple sources and big data lakehouses. The community version could be updated for new data catalog connections. I think the documentation is s...

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What is your primary use case for Dremio?

I have been using Dremio to select multiple data sources, retrieve multiple data sources, and create and maintain Iceberg tables for the data lakehouse. My main use case for Dremio is to actively c...

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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...

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...

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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

Databricks vs Dremio

Compared 14% of the time

Snowflake vs Dremio

Compared 12% of the time

BigQuery vs Dremio

Compared 4% of the time

Starburst Enterprise vs Dremio

Compared 3% of the time

Alteryx One vs Dremio

Compared 2% of the time

More Dremio Competitors

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

Dremio

October 2026

Download Dremio product report

Buyer's Guide

Teradata

October 2026

Download Teradata product report

Also Known As

Dremio AWS - BYOL

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

Dremio offers a comprehensive platform for data warehousing and data engineering, integrating seamlessly with data storage systems like Amazon S3 and Azure. Its main features include scalability, query federation, and data reflection.

Dremio's core strength lies in its ability to function as a robust data lake query engine and data warehousing solution. It facilitates the creation of complex queries with ease, thanks to its support for Apache Airflow and query federation across endpoints. Despite challenges with Delta connector support, complex query execution, and expensive licensing, users find it valuable for managing ad-hoc queries and financial data analytics. The platform aids in SQL table management and BI traffic visualization while reducing storage costs and resolving storage conflicts typical in traditional data warehouses.

What are Dremio's most valuable features?

Native Error Interfaces: Simplifies error detection and troubleshooting
Integration with Apache Airflow: Enhances workflow automation capabilities
Scalability: Effortlessly handles growing data demands
Role-Based Access Management: Provides secure data access control
Data Reflection: Optimizes query performance automatically
Query Federation: Supports queries across multiple endpoints seamlessly
Data Cataloging and Virtualization: Offers streamlined data organization

What benefits and ROI should users look for?

Reduced Data Storage Costs: Efficiently manages data to minimize storage expenses
Improved Query Performance: Enhances processing speed for large datasets
Flexibility in Integration: Easily connects with storage solutions like Oracle and MySQL
Enhanced Data Management: Supports comprehensive data analysis workflows

Dremio is primarily implemented in industries requiring extensive data engineering and analytics, including finance and technology. Companies use it for constructing data frameworks, efficiently processing financial analytics, and visualizing BI traffic. It acts as a viable alternative to AWS Glue and Apache Hive, integrating seamlessly with multiple databases, including Oracle and MySQL, offering robust solutions for data-driven strategies. Despite some challenges, its ability to reduce data storage costs and manage complex queries makes it a favorable choice among enterprise users.

Dremio

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

UBS, TransUnion, Quantium, Daimler, OVH

Netflix

Buyer's Guide

Dremio vs. Teradata

September 2026

Free Report: Dremio vs. Teradata

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