No more typing reviews! Try our Samantha, our new voice AI agent.

SAP Adaptive Server Enterprise vs SingleStore 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

SAP Adaptive Server Enterprise
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
14
Ranking in other categories
Relational Databases Tools (20th)
SingleStore
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
10
Ranking in other categories
Database as a Service (DBaaS) (11th), Vector Databases (16th)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. SAP Adaptive Server Enterprise is designed for Relational Databases Tools and holds a mindshare of 1.4%, up 0.9% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.5% mindshare, up 1.8% since last year.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
SAP Adaptive Server Enterprise1.4%
SQL Server10.6%
Oracle Database10.5%
Other77.5%
Relational Databases Tools
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
SingleStore3.5%
MongoDB Atlas11.8%
Amazon RDS11.7%
Other73.0%
Database as a Service (DBaaS)
 

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.
Kelvin  Ben - PeerSpot reviewer
Senior Software Engineer at Honeywell
Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data
The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

Quotes from Members

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

Pros

"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."
"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."
"SAP Adaptive Server Enterprise was basically as good as its rivals in my experience."
"They provide easy integration with other systems."
"SAP Adaptive Server Enterprise is a good transactional database."
"Provides very good integration."
"During the last 20 years, I have never had a stability problem with this product."
"SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone."
"MemSQL is a very powerful database."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"SingleStore is a pretty good database engine set up to handle very large loads of both transactions and data, and it is very easy to use."
"The paramount advantage is the exceptional speed."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"Cluster features: The Cluster Edition didn't get the same level of reliability as the Enterprise Edition did."
"User interface could be more user friendly."
"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."
"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 should improve view partitioning. The documentation is very confined and available only for users. Distributors also would like access to it."
"Because the solution is customized. we do occasionally face unique bugs. There are always some changes that need to be made here and there."
"When we acquire a new project that is sometimes related to data migrations, after getting those data, there are lots of deadlocks happening."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time."
"We don't get good discounts in Pakistan."
"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."
 

Pricing and Cost Advice

"Price-wise, the product is worth it since one needs very less infrastructure to use it."
"The licensing cost for ASE is pretty low."
"I rate SAP Adaptive Server Enterprise's pricing a six out of ten."
"The product's licensing is not expensive. It is comparable."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"I would advise users to try the free 128GB version."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"SingleStore is a bit expensive."
report
Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
902,495 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
16%
Financial Services Firm
15%
Manufacturing Company
11%
Government
7%
Financial Services Firm
29%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise11
By reviewers
Company SizeCount
Small Business6
Large Enterprise5
 

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...
What is your experience regarding pricing and costs for SingleStore DB?
I cannot share much about how SingleStore is deployed due to company policy.
What needs improvement with SingleStore DB?
SingleStore is very well at the current stage, but I see room for improvement in ease of administration, monitoring, and reducing troubleshooting time. Better documentation for advanced use cases, ...
What is your primary use case for SingleStore DB?
SingleStore is our main platform for handling high-performance real-time analytics of large data volumes, providing transactional and operational data on a single platform. One specific example of ...
 

Also Known As

SAP ASE
No data available
 

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
400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: June 2026.
902,495 professionals have used our research since 2012.