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SAP Adaptive Server Enterprise vs Teradata comparison

 

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
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (15th), Data Integration (14th), Data Warehouse (3rd), BI (Business Intelligence) Tools (7th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of June 2026, in the Relational Databases Tools category, the mindshare of SAP Adaptive Server Enterprise is 1.4%, up from 0.9% compared to the previous year. The mindshare of Teradata is 4.0%, down from 5.2% 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 Enterprise1.4%
Other94.6%
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 pretty good at handling a large number of transactions, which is critical for a banking client."
"In SAP Adaptive Server Enterprise, there are some built-in stored procedures that you can use to fire those commands and get the data in a very systematic manner where you can see the results."
"It's user-friendly, especially in the logistics field."
"This product has my complete confidence."
"This is a wonderful database that is, in my opinion, underrated. Users are able to get the most out of my experience by taking advantage of its centralized environment."
"SAP Adaptive Server Enterprise is a good transactional database."
"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."
"The actual interface is good."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"It's stable and reliable."
"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"It's very, very fast"
"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."
"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
 

Cons

"When we acquire a new project that is sometimes related to data migrations, after getting those data, there are lots of deadlocks happening."
"The overall performance of the product is an area where the tool has certain shortcomings and needs to improve."
"I'd like to see a more friendly user interface."
"Better promotion. Sybase seems little known."
"There could be some improvements in barcode scanning and RFID access."
"There is lack of good support in Mexico - I would prefer Oracle or IBM over SAP in terms of support."
"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."
"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."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"However, adding additional space once your disks are full in the past was expensive."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"Data synchronization to the DR site."
"GUI of administrative tools is really outdated."
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."
 

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."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"It comes at a notably high cost for what it offers."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."
"The cost is significantly high."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
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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
16%
Financial Services Firm
15%
Manufacturing Company
11%
Government
7%
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
5%
 

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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