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SAP Adaptive Server Enterprise vs Teradata comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 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 Adaptive Server Enterprise
Ranking in Relational Databases Tools
20th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
14
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 (20th), Data Integration (21st), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (6th)
 

Mindshare comparison

As of October 2026, in the Relational Databases Tools category, the mindshare of SAP Adaptive Server Enterprise is 1.6%, up from 1.0% compared to the previous year. The mindshare of Teradata is 4.0%, down from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Teradata4.0%
SAP Adaptive Server Enterprise1.6%
Other94.4%
Relational Databases Tools
 

Featured Reviews

reviewer2784705 - PeerSpot reviewer
Senior Advisor at a government with 10,001+ employees
Long term database experience has supported OLTP workloads and delivers reliable cross platform migrations
SAP is not putting money into modernizing SAP Adaptive Server Enterprise. One of the things I discovered on the last project I was on was that they did not incorporate the Intel new instruction set in SAP Adaptive Server Enterprise. Intel has augmented its instruction set referred to as new instructions. They did that to make conversion easier. When you migrate SAP Adaptive Server Enterprise cross-platform, you go through a process where it converts the character set. If you are going from AIX to Linux or from Solaris to Linux, Linux is referred to as Little Endian, while AIX or Solaris are considered Big Endian. This is determined by how the product stores data. The word size of these processors is 32 bits long. If you start numbering from the little end, it is referred to as Little Endian. If you start numbering from the big end, it is called Big Endian. To migrate a SAP Adaptive Server Enterprise database from a Big Endian setup like AIX or Solaris to migrate to a Big Endian setup on an Intel, the operating system determines whether it is Little Endian or Big Endian. When you migrate from Big Endian to Little Endian, the database has to go through a character set conversion, and some of these databases are quite large with gigabytes and gigabytes of data. They have to do a character set conversion to the existing database before they do anything else. The worst part is that you have to rebuild all the indexes when you do that. When you switch endianness of the database, you have to rebuild all the indexes. It will automatically do that for system tables, but for actual user databases, you have to rebuild all your indexes, and it takes a long time. SAP Adaptive Server Enterprise is a relational database and is the predecessor of Microsoft SQL Server. All that functionality that Microsoft SQL Server had came from essentially SAP Adaptive Server Enterprise. The problem with SAP Adaptive Server Enterprise these days is it is not expanding its place in the marketplace or expanding its position in the marketplace. A lot of companies have migrated away from SAP Adaptive Server Enterprise. It works fairly well, but the problem is SAP Adaptive Server Enterprise was architected to be an OLTP engine and is now doing things for larger databases that were not in its original intended purpose. The endianness of the RDBMS is a major impediment to continuing to use SAP Adaptive Server Enterprise. You have a multi-gigabyte database, and it will go through a conversion process in a single-threaded fashion, and then you have to rebuild the indexes. Rebuilding the indexes is lengthy and time-consuming. The part of the conversion process that is concerned with conversion of the character set is single-threaded. You may have eight cores on your machine or virtual machine and only one can be used in the conversion process. There is another problem with the whole thing in that it will sometimes not operate properly. Under certain workloads, SAP Adaptive Server Enterprise will become overwhelmed. When you convert it, it does not operate properly in all circumstances. The root cause of that is that SAP in its desire to save money and desire to orphan the product has not recompiled or redeveloped the product to take advantage of the Intel new instruction set. Other relational databases such as Oracle and Microsoft SQL Server have the same issue to deal with, but with those platforms, they are taking advantage of the new instruction set. There are some additional Intel instruction sets or instructions in their Intel instruction set. With SAP Adaptive Server Enterprise, they did not bother to incorporate support for the new instruction set instructions. In certain circumstances, the database does not operate properly. It is unable to do what it needs to do. If you do your research and go on the internet and see what happens with Oracle or Microsoft SQL Server, what comes back is that it takes 4% longer to perform a lot of the instructions. When you are using the new instruction set, it adds 4% to the runtime of the database.
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

"It's user-friendly, especially in the logistics field."
"SAP ERP offers us a robust platform where financial stakeholders spend less time collating and sourcing out records and implementing payments."
"During the last 20 years, I have never had a stability problem with this product."
"I like that SAP ASE can match code and the database index to index data in the programming language."
"The financials is the most valuable feature for us in operational terms because we deal with a lot of services and SAP has integrated everything for us, both financial reporting and operations."
"Provides very good integration."
"The most valuable part of the tool stems from the fact that it is a very cost-efficient product compared to the newer technologies because it needs a very small amount of RAM."
"They provide easy integration with other systems."
"Teradata effectively uses parallelism to the granular level, performing better than other databases."
"Teradata's best feature is its speed with historical data."
"We are into DWBI (Data Warehousing and Business Intelligence) and Teradata is number one in the market for these solutions."
"The most valuable feature of Teradata was actually the fact that it controls everything on a database."
"The functionality of the solution is excellent."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
"The most valuable feature is the ease of uploading data from multiple sources."
"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."
 

Cons

"SAP should refine its debugging method, and the process needs to be a little faster."
"There is lack of good support in Mexico - I would prefer Oracle or IBM over SAP in terms of support."
"SAP should refine its debugging method, and the process needs to be a little faster. It should use more Pragmas and fewer pseudocomments. I would like if SAP added more features based on advanced technologies, like artificial intelligence and voice control. The modularization and if-else techniques could also incorporate the latest technology to code and solve complex problems. The SAP Editor should be more elaborative, and it should allow many more types of statements for all uses."
"Cost-wise, SAP is still expensive compared to other available products."
"Because the solution is customized. we do occasionally face unique bugs. There are always some changes that need to be made here and there."
"They turned a functional product into something where you have to go through a difficult process to do the conversion."
"I think that the solution needs to be positioned better within the market as it appears as though the Adaptive Server is being left out of the SAP scope."
"When we acquire a new project that is sometimes related to data migrations, after getting those data, there are lots of deadlocks happening."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"The price of Teradata is expensive."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
"We are using an older version at the moment."
"The usability could be a bit better. It could be a bit more user-friendly."
"Concurrency is still a challenge, pricing is still high."
"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."
 

Pricing and Cost Advice

"The licensing cost for ASE is pretty low."
"Price-wise, the product is worth it since one needs very less infrastructure to use it."
"I rate SAP Adaptive Server Enterprise's pricing a six out of ten."
"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"The price of the solution could be reduced, it is expensive."
"Teradata is not cheap, but you get what you pay for."
"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."
"It's a very expensive product."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
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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
Construction Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
9%
Financial Services Firm
16%
Outsourcing Company
10%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise11
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What is your experience regarding pricing and costs for SAP Adaptive Server Enterprise?
From a pricing perspective, I would say the solution is fairly priced. In Oracle, you have two or three databases at most on one machine. In SAP Adaptive Server Enterprise, one machine can have mul...
What needs improvement with SAP Adaptive Server Enterprise?
SAP is not putting money into modernizing SAP Adaptive Server Enterprise. One of the things I discovered on the last project I was on was that they did not incorporate the Intel new instruction set...
What is your primary use case for SAP Adaptive Server Enterprise?
I have worked with SAP Adaptive Server Enterprise, SAP Adaptive Server Enterprise IQ, and Replication Server. I also worked with SQL Anywhere at one point. SAP acquired Sybase at one point, and the...
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,...
 

Also Known As

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

Overview

 

Sample Customers

City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International (ARI), Takisada-Osaka Co. Ltd., Coelba (Grupo Neoenergia), RZD Russian Railways, National Basketball Association - NBA, TALLY
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