Exasol Data Warehouse vs Teradata comparison

Exasol and Teradata are both solutions in the Relational Databases Tools category. Exasol is ranked #34, while Teradata is ranked #7 with an average rating of 8.3. Exasol holds a 1.4% mindshare in SQL, compared to Teradata’s 3.9% mindshare. Additionally, 100% of Exasol users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

Exasol Data Warehouse

Read 8 Exasol Data Warehouse reviews

1,658 Views
1,476 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

20,701 Views
3,933 Comparison Views

88% willing to recommend

Exasol Data Warehouse

Teradata

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Exasol compete in the data warehousing category, each providing unique advantages. Exasol seems to have the upper hand due to its high-performance in-memory processing, which appeals to businesses prioritizing speed.

Features: Teradata shines in advanced analytics capabilities and seamless integration with BI tools, making it suitable for businesses with complex data requirements. Its versatile storage and robust analytic functions provide powerful tools for data analysis. Exasol focuses on speed and scalability, using in-memory architecture for high-performance analytics, allowing for swift query processing and real-time insights.

Room for Improvement: Teradata could improve by simplifying its deployment process since its extensive feature set can lead to complexity. Enhancing ease of use and reducing operational costs would make it more appealing. Exasol might work on expanding its support for advanced analytics functions and improve integration with third-party tools to increase its usability in diverse environments.

Ease of Deployment and Customer Service: Teradata involves a more complex deployment process due to its rich features, but provides substantial customer support to assist users. Exasol offers a streamlined deployment process with a straightforward architecture, accompanied by comprehensive support, allowing businesses to achieve rapid implementation.

Pricing and ROI: Teradata often involves higher initial costs because of its customization and setup requirements, yet offers a reliable long-term ROI with its extensive features and services. Exasol presents a more predictable pricing model with lower initial costs. Its high performance and scalability help ensure a strong ROI by enabling efficient data volume management, offering a compelling value proposition.

To learn more, read our detailed Exasol Data Warehouse vs. Teradata Report (Updated: August 2026).

Buyer's Guide

Exasol Data Warehouse vs. Teradata

August 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

Exasol Data Warehouse

Ranking in Relational Databases Tools

34th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

7th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (11th), Data Integration (15th), Data Warehouse (2nd), BI (Business Intelligence) Tools (8th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Exasol Data Warehouse is 1.4%, up from 1.0% compared to the previous year. The mindshare of Teradata is 3.9%, down from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	3.9%
Exasol Data Warehouse	1.4%
Other	94.7%

Relational Databases Tools

Featured Reviews

Shubham-Agarwal

Manager - Projects at Cognizant

Fast query processing and easy-to-store all the data

There are very few companies that are using Exasol, but the majority of companies are using SQL Server, Cloud or IBM Db2 Database, or any other databases. Therefore, the resources are limited, which is my only concern. So if I face any issues, limited resources are available to help me resolve the issue with Exasol. From that perspective, it can be a bit of a struggle for me to find a solution. In the next release, I would like to see better compatibility issues. Currently, Exasol has limited compatibility with other software like Python and R. For example, If I talk about SQL Server, we can connect it to big data or Python, which is also compatible with different servers.

Read full review

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

"The solution is hands-off; you set it up insert your data and it self tunes queries."

"It is easy to scale."

"This solution is extremely fast and very stable; you set it up and put your data on it and as long as it's structured, it self-tunes queries and doesn't require a database administrator."

"The speed is very good compared to other databases, like SQL Server or Oracle."

"The most valuable feature of Exasol is its speed."

"We can quickly scale the solution as it works on an MPP system."

"We mainly chose Exasol for its performance reasons."

"Its speed is great."

More Exasol Data Warehouse pros

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

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."

"Teradata has immensely helped our organization to fetch the data at a faster rate, which has saved us quite a lot of time."

"Teradata is a 100% stable environment."

More Teradata pros

Cons

"There are limited resources available to help me resolve the issue with Exasol."

"They should improve the security features for MPP processing."

"It's not cloud-native so many maintenance operations require downtime."

"It would be beneficial if the updates would occur more often."

"The price is quite expensive relative to other similar solutions, it could be more accessible in that sense."

"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."

"Lacks a cloud-based platform."

"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."

More Exasol Data Warehouse cons

"I would not say it was very performance efficient, but it was definitely good."

"I'm not sure about the unstructured data management capabilities. It could be improved."

"It needs a teaching web site with more training on third-party tools used for BI."

"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 solution needs improvement in its stability, support and pricing."

"The Query Response time needs improving."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."

More Teradata cons

Pricing and Cost Advice

"The solution's cost is mid-ranged."

"It comes at a notably high cost for what it offers."

"Teradata's licensing is on the expensive side."

"The initial cost may seem high, but the TCO is low."

"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."

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

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"I am using the free version of Teradata."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

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

Construction Company

11%

Outsourcing Company

10%

Financial Services Firm

Government

Financial Services Firm

18%

Manufacturing Company

Construction Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

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

Questions from the Community

Ask a question

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...

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

SQL Server vs Exasol Data Warehouse

Compared 11% of the time

Oracle Database vs Exasol Data Warehouse

Compared 8% of the time

IBM Db2 Database vs Exasol Data Warehouse

Compared 7% of the time

Oracle Database In-Memory vs Exasol Data Warehouse

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Exasol Data Warehouse

Compared 6% of the time

More Exasol Data Warehouse Competitors

Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

Databricks vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

August 2026

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Buyer's Guide

Teradata

July 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

Exasol Data Warehouse is renowned for its exceptional speed and automatic optimization, making it user-friendly. It enhances data processing on platforms such as Tableau, ensuring efficient dashboards for users across countries.

Exasol Data Warehouse offers an impressive performance by outperforming competitors like SQL Server and Oracle. Its automatic optimization and hands-off setup simplify deployment, while robust SQL support and self-tuning capabilities improve workflows. Users benefit from its high processing speed, supporting efficient data queries and broader workflows, alongside an intuitive interface and comprehensive documentation. Despite its performance strengths, it struggles with global recognition, connectivity, and integration. Challenges include custom role creation and security, with limited row-level security support. Users seek more frequent updates and better compatibility with languages such as Python and R. It requires specific drivers, is not cloud-native, and has a high cost. With limited resources available, security features for MPP processing need enhancement.

What are the key features of Exasol?

Impressive Speed: Outperforms counterparts in data processing, enhancing efficiency.
Automatic Optimization: Boosts performance and ease of use.
Robust SQL Support: Facilitates seamless data handling and queries.
Self-Tuning Capabilities: Reduces manual intervention for users.
Intuitive Interface: Enhances user engagement and accessibility.

What benefits should users look for in Exasol?

Enhanced Performance: Streamlines and accelerates BI functions.
Improved Dashboard Efficiency: Increases effectiveness on platforms like Tableau.
Ease of Use: Simplifies set-up with hands-off setup and self-tuning.
Broad Integration: Acts as backend for tools like MicroStrategy.
Central Data Repository: Supports critical data management across regions.

Exasol Data Warehouse is implemented to enhance performance in reporting systems and development processes, serving teams in Mexico, Colombia, and Brazil. It acts as a backend for reporting tools such as MicroStrategy while accelerating BI functions. It supports the resolutions of data issues from tools like Tableau, provides ad-hoc analysis, and manages critical data points efficiently.

Exasol

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

1&1 Internet SE 11880 Internet Services AG AB Svenska Spel Accarda AG Aera Technology Inc. AGRAVIS Raiffeisen AG Apotheken-Rechen-Zentrum GmbH AQR Capital Management, LLC arvato distribution GmbH ARZ Allgemeines Rechenzentrum GmbH Badoo Limited Baur Versand (GmbH & Co. KG) BIScience Ltd Blocket Blue Yonder GmbH Codilink UK Ltd T/A Coniq crealytics GmbH dailyme TV GmbH Dailymotion S.A. Dataforce Verlagsgesellschaft für Business Information mbH Deutsche Postbank AG Digitales Rezept Zentrum GmbH DIKW Groep direct services Gütersloh GmbH DR Technologies Ltd. dress-for-less GmbH econda GmbH emetriq GmbH empiriecom GmbH & Co. KG Flaconi GmbH Fresenius Netcare GmbH Fyber GmbH GfK SE Grant Street Group, Inc. Gruner + Jahr GmbH Gymshark UK Hahn Air Lines GmbH Hermes Einrichtungs Service GmbH & Co. KG INNOVATIVE SCHEDULING, LLC internetstores GmbH INTERSPORT Deutschland eG IQVIA Commercial GmbH & Co. OHG IQVIA Commercial Sp. z o.o. IQVIA Incorporated iVantage Health Analytics K - Mail Order GmbH & Co. KG LIQ CORP SA Manor AG Basel Match2Lists Limited MEDION AG Midasplayer AB Monsoon Accessorize Limited m-pathy GmbH msales Ltd. MTG Modern Services AB MW Aviation GmbH & Co. KG Myntra Designs Pvt Ltd Netzeffekt GmbH New Company Services Ltd. NOVENTI HealthCare GmbH Olympus Europa SE & Co. KG Operation Fistula OpsDataStore OTTO (GmbH & Co KG) Panda Retail Co. PAPSTAR GmbH Piedmont Healthcare, Inc. Questback GmbH RatePAY GmbH Revolut Ltd. Saarland-Sporttoto GmbH Sagarmatha Ltd. SIA Damara Technologies Supermärkte Nord Vertriebs GmbH & Co. KG The National Research Center for College & University Admissions, Inc. United Utilities Water Ltd. Verlag C.H. Beck oHG Vocal Planet Ltd. Vodafone Group Services GmbH Webtrekk GmbH wer liefert was? GmbH Windeln.de SE Wooga GmbH XING SE Zalando SE

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Buyer's Guide

Exasol Data Warehouse vs. Teradata

August 2026

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