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SAP SQL Anywhere vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 2026

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

SAP SQL Anywhere
Ranking in Relational Databases Tools
31st
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
6
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
83
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 SAP SQL Anywhere is 1.2%, up from 0.7% 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
ProductMindshare (%)
Teradata3.9%
SAP SQL Anywhere1.2%
Other94.9%
Relational Databases Tools
 

Featured Reviews

MT
Automation Project Manager at a manufacturing company with 10,001+ employees
Scalable, easy to use, but stability could improve
We use SAP SQL Anywhere because we have a lot of Power BI reports that connect with the SQL database that we have for our robotic process automation data. We create procedures and other elements within the solution The most valuable features of SAP SQL Anywhere are the ease of use and the user…
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

"SQL Anywhere is easy and it did not cost as much as SQL Microsoft."
"SAP SQL Anywhere is very helpful."
"It works well in general."
"The most valuable features of SAP SQL Anywhere are the ease of use and the user interface is intuitive."
"The most valuable features of SAP SQL Anywhere are the ease of use and the user interface is intuitive."
"It works well in general."
"The auto-backup replication is a perfect feature. That is the feature I liked the most."
"It's a great product to use if you are already have an integration with SAP's ERP/CRM systems."
"Designing the database is easy."
"Things have started moving faster in my company, such as data retrieval happens more quickly.​"
"The initial setup was straightforward."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The performance is great, we are able to query our data in one operation."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"Technically, it has made data processing much faster than other SMP databases."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
 

Cons

"A problem we are experiencing now is when doing a backup in SQL 2012 and 14."
"It is not as secure as it could be."
"SAP SQL Anywhere needs to incorporate functionalities like SAP S/4HANA."
"The interface is not easy in comparison to the SQL Server. It could be more user-friendly."
"A problem we are experiencing now is when doing a backup in SQL 2012 and 14 there's a problem with the license."
"We have had some stability issues with SAP SQL Anywhere, but I am not sure if it is an application or network issue. We sometimes have a large amount of data being queried and it cannot handle it."
"The interface is not easy in comparison to the SQL Server. It could be more user-friendly."
"We have had some stability issues with SAP SQL Anywhere, but I am not sure if it is an application or network issue."
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
"Data synchronization to the DR site."
"Teradata's UI could be more user-friendly."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"GUI of administrative tools is really outdated."
"The user interface needs to be improved."
"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."
"I would like more security and speed."
 

Pricing and Cost Advice

"SAP SQL Anywhere is affordable."
"SQL Anywhere cost us about $400."
"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 a very expensive solution."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"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."
"It comes at a notably high cost for what it offers."
"The price of the solution could be reduced, it is expensive."
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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
Computer Software Company
10%
Retailer
7%
Manufacturing Company
7%
University
7%
Financial Services Firm
19%
Manufacturing Company
8%
Computer Software Company
6%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise52
 

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...
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

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

Overview

 

Sample Customers

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, RZD Russian Railways, National Basketball Association, TALLY WEiJL
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Find out what your peers are saying about SAP SQL Anywhere vs. Teradata and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.