Exasol Data Warehouse vs Teradata comparison

Exasol and Teradata are both solutions in the Relational Databases Tools category. Exasol is ranked #32, while Teradata is ranked #5 with an average rating of 7.7. 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

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100% willing to recommend

Teradata

Read 83 Teradata reviews

11,786 Views
2,593 Comparison Views

88% willing to recommend

Exasol Data Warehouse

Teradata

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Executive SummaryUpdated on Jan 4, 2026

Teradata and Exasol Data Warehouse compete in the data warehousing domain, each offering unique strengths. While Teradata is recognized for its customer support and cost-effectiveness, Exasol holds the upper hand with advanced features and superior overall performance.

Features: Teradata provides outstanding scalability, robust integration capabilities, and excellent analytics functions. Exasol focuses on high-performance analytics, in-memory processing for fast query execution, and real-time data insights.

Room for Improvement: Teradata could improve in documentation clarity, query optimization for complex tasks, and reducing initial setup complexity. Exasol might enhance its support for data integration, lower its initial investment costs, and improve user-friendly deployment processes.

Ease of Deployment and Customer Service: Teradata is noted for comprehensive customer support, guiding users through flexible deployment options suitable for diverse infrastructure needs. Exasol offers a straightforward modular deployment but may require more expertise during initial setup, focusing on simplicity.

Pricing and ROI: Teradata's setup cost is generally favorable with a reasonable ROI, especially for enterprise-level implementations. Exasol may involve higher initial costs, but its quick processing offers potentially better ROI for those prioritizing speed in analytics.

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

Buyer's Guide

Exasol Data Warehouse vs. Teradata

March 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

32nd

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

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (16th), Data Integration (13th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of March 2026, in the Relational Databases Tools category, the mindshare of Exasol Data Warehouse is 1.4%, up from 0.5% compared to the previous year. The mindshare of Teradata is 3.9%, down from 5.4% 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.

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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

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

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

"We mainly chose Exasol for its performance reasons."

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

"It is easy to scale."

"Performance is a top priority, and it excels in this aspect."

"Its speed is great."

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

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

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

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. 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."

"The product is reliable."

"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."

More Teradata pros

Cons

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

"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."

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

"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."

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

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

"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"My experience with pricing, setup cost, and licensing indicates that while it was not part of my work, I found Teradata to be somewhat costlier when considering other options."

"I would like to see more integration with many different types of data."

"The current operational approach needs improvement."

"I would like to see an improved Knowledge Base on the web."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

More Teradata cons

Pricing and Cost Advice

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

"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."

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

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"It's a very expensive product."

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

"The solution requires a license."

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

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

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

Government

Financial Services Firm

Computer Software Company

Outsourcing Company

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Government

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	52

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...

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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

SQL Server vs Exasol Data Warehouse

Compared 15% of the time

Oracle Database vs Exasol Data Warehouse

Compared 12% of the time

OpenText Analytics Database (Vertica) vs Exasol Data Warehouse

Compared 11% of the time

Oracle Database In-Memory vs Exasol Data Warehouse

Compared 9% of the time

Oracle Database Cloud Service vs Exasol Data Warehouse

Compared 8% of the time

More Exasol Data Warehouse Competitors

Snowflake vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 4% of the time

Oracle Exadata vs Teradata

Compared 4% of the time

IBM Db2 Database vs Teradata

Compared 3% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

March 2026

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Buyer's Guide

Teradata

February 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

Exasol is a high-performance data warehouse solution that accelerates BI and reporting features. Its speed, stability, and self-tuning queries make it valuable, and it doesn't require a database administrator. It's a backend database for Tableau dashboards, resulting in faster report loading times and increased efficiency in querying data.

Exasol's high performance allows users to connect insights and fire queries instead of looking at cached dashboards. It has impressive aggregation capabilities that help calculate metrics on the fly based on user-selected filters.

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

March 2026

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