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Heavy.AI vs SAP Adaptive Server Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary

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

Heavy.AI
Ranking in Relational Databases Tools
24th
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAP Adaptive Server Enterprise
Ranking in Relational Databases Tools
19th
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Heavy.AI is 0.7%, up from 0.2% compared to the previous year. The mindshare of SAP Adaptive Server Enterprise is 1.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
SAP Adaptive Server Enterprise1.5%
Heavy.AI0.7%
Other97.8%
Relational Databases Tools
 

Featured Reviews

reviewer2886843 - PeerSpot reviewer
Service Cloud Gb Strat High Technology Enterprise Account Executive at a tech vendor with 10,001+ employees
Interactive analytics has revealed territory gaps and now needs simpler, more conversational guidance
I think whenever you're using these tools, you want it to be as conversational as possible, and I think more of that would be helpful for Heavy.AI. Allowing you to ask questions on how to do things inside of Heavy.AI and have it actually show you how to do it as you're doing it would be beneficial. That way you don't have to spend a lot of time trying things out through trial and error. Trial and error can be helpful because you're learning it that way, but at the same time, when you're just trying to do things quickly and you're not a professional or a user that uses it all the time, you might not have that. So you want to be able to get that information quickly and easily. Some aspects I didn't like, but some of it's just like, "of course not." I wish I could snap my fingers and have everything be perfect, but that's not realistic. The infrastructure is probably fairly expensive. I can't afford to do that. I would need my business, the company that I work for to do it for us. Otherwise I can't really do it. It's just expensive. I did feel that it was pretty easy to use, but I'm a little bit more experienced than the average person, so maybe someone less technical like my colleagues would struggle initially to figure it out. I think maybe enhancing the user-friendliness for people that are not coders, just kind of setting up the workflows and things so it's just easier would help. It seems to be more purpose-built for spatial stuff, for location plus time and things, but general purpose BI is kind of an important thing. I don't think people were actually taking advantage of that, and when they're not doing that, it creates a little bit of trouble.
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.

Quotes from Members

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

Pros

"Heavy.AI being able to do these things without having that background was powerful for me."
"We did see a saving of time and cost because we had a one-stop shop where we could access GPU utilization along with plotting of geographical data."
"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."
"SAP Adaptive Server Enterprise is a good transactional database."
"The actual interface is good."
"It's pretty good at handling a large number of transactions, which is critical for a banking client."
"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."
"This product has my complete confidence."
"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."
 

Cons

"My experience with that was expensive to do for myself, so I had to get the company to sort of allow me to do it for Heavy.AI."
"Heavy.AI can be improved since it is a very large and comprehensive tool. For someone who does not have expertise in the tool, they will struggle somewhat, so I think it could be made easier for people."
"In my opinion, product support is not that great from SAP because they have already declared the end-of-date for SAP ASE. They will be stopping product support."
"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."
"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."
"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."
"Better promotion. Sybase seems little known."
 

Pricing and Cost Advice

Information not available
"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."
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Top Industries

By visitors reading reviews
Construction Company
35%
Insurance Company
19%
Healthcare Company
9%
Comms Service Provider
5%
Construction Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Large Enterprise11
 

Questions from the Community

What needs improvement with Heavy.AI?
Heavy.AI can be improved since it is a very large and comprehensive tool. For someone who does not have expertise in the tool, they will struggle somewhat, so I think it could be made easier for pe...
What is your primary use case for Heavy.AI?
Heavy.AI is my main tool for large-scale data plotting and analysis. We have a lot of geographical data which we process for IoT vehicle fleets and cell tower pings. For this, we analyze and plot t...
What advice do you have for others considering Heavy.AI?
My advice to others looking into using Heavy.AI is to understand data and concepts in depth before using the tool rather than using it blindly. I give Heavy.AI a rating of 9.
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...
 

Also Known As

OmniSci
SAP ASE
 

Overview

 

Sample Customers

Pactriglo, TUTELA, Skyhook, npm, Inc., Simulmedia
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
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: August 2026.
909,153 professionals have used our research since 2012.