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Exasol Data Warehouse vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 30, 2025

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
20th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
8
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
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (17th), Data Integration (15th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of December 2025, in the Relational Databases Tools category, the mindshare of Exasol Data Warehouse is 1.4%, up from 0.4% compared to the previous year. The mindshare of Teradata is 4.2%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Market Share Distribution
ProductMarket Share (%)
Teradata4.2%
Exasol Data Warehouse1.4%
Other94.4%
Relational Databases Tools
 

Featured Reviews

Shubham-Agarwal - PeerSpot reviewer
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.
David Durand Velásquez - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We can quickly scale the solution as it works on an MPP system."
"Its speed is great."
"The speed is very good compared to other databases, like SQL Server or Oracle."
"The most valuable feature of Exasol is its speed."
"The solution is hands-off; you set it up insert your data and it self tunes queries."
"Performance is a top priority, and it excels in this aspect."
"We mainly chose Exasol for its performance reasons."
"It is easy to scale."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The best features Teradata offers, in my experience, include fast performance during multi-parallel processing, very good scalability, support for linear scalability, and its suitability for handling large volumes of data; additionally, 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."
"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."
"Designing the database is easy."
"It's very mature from a technology perspective."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"Teradata has positively impacted our organization by allowing our team to reduce from 27 people down to eight, consolidating our headcount, and helping the enterprise achieve a higher rate of internal return on financials."
 

Cons

"They should improve the security features for MPP processing."
"It's not cloud-native so many maintenance operations require downtime."
"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."
"There are limited resources available to help me resolve the issue with Exasol."
"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."
"It would be beneficial if the updates would occur more often."
"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."
"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."
"There is some improvement required on OLTP level and some analytical function is missing."
"I would not say it was very performance efficient, but it was definitely good."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"Teradata's UI could be more user-friendly."
"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."
"There is a need to improve performance in high transaction processes, as well as the reporting system."
"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."
 

Pricing and Cost Advice

"The solution's cost is mid-ranged."
"Teradata's licensing is on the expensive side."
"The initial cost may seem high, but the TCO is low."
"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."
"I am using the free version of Teradata."
"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."
"It's a very expensive product."
"Teradata is not cheap, but you get what you pay for."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Logistics Company
8%
Financial Services Firm
7%
Outsourcing Company
7%
Healthcare Company
7%
Financial Services Firm
23%
Manufacturing Company
8%
Computer Software Company
7%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise52
 

Questions from the Community

What do you like most about Exasol?
The most valuable feature of Exasol is its speed.
What needs improvement with Exasol?
You have to use upper-column names in Exasol, which is strange. You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems.
What is your primary use case for Exasol?
We implemented our data problem issues from Tableau. We inserted the data into the Exasol database in order to run 10 to 20 reports from Tableau. This was just a small but problematic report for us.
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...
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...
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,...
 

Comparisons

 

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

 

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
Netflix
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879,259 professionals have used our research since 2012.