Try our new research platform with insights from 80,000+ expert users

OpenText Analytics Database (Vertica) 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

OpenText Analytics Database...
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
88
Ranking in other categories
Data Warehouse (10th), Cloud Data Warehouse (12th)
SAP Adaptive Server Enterprise
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
14
Ranking in other categories
Relational Databases Tools (20th)
 

Mindshare comparison

OpenText Analytics Database (Vertica) and SAP Adaptive Server Enterprise aren’t in the same category and serve different purposes. OpenText Analytics Database (Vertica) is designed for Data Warehouse and holds a mindshare of 5.3%, down 8.6% compared to last year.
SAP Adaptive Server Enterprise, on the other hand, focuses on Relational Databases Tools, holds 1.2% mindshare, up 1.0% since last year.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
OpenText Analytics Database (Vertica)5.3%
Snowflake10.1%
Teradata9.4%
Other75.2%
Data Warehouse
Relational Databases Tools Market Share Distribution
ProductMarket Share (%)
SAP Adaptive Server Enterprise1.2%
SQL Server11.8%
Oracle Database11.7%
Other75.3%
Relational Databases Tools
 

Featured Reviews

PS
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Reporting has become faster and more cost-effective but data cleanup and writes still need work
The best features OpenText Analytics Database (Vertica) offers are that it is parallel, with Massively Parallel Processing (MPP), and it is a columnar database. It works in append-only mode, which is ideal for analytics and read queries. Additionally, I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes. That helped me save costs. Beyond that, it is massively scalable, which was quite useful for our fintech use case. The read speed was excellent, and the data compression is good. OpenText Analytics Database (Vertica) has positively impacted our organization by helping us reduce storage costs and improve reporting efficiency in our fintech company. The analytics team could run reports much faster, and we saved significant costs on compute and storage, especially with Eon mode and compression.
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

"Speed and resiliency are probably the best parts of this product."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The initial setup was straightforward."
"Partition and join back to node are easy and simple for DBAs."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"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."
"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."
"It's user-friendly, especially in the logistics field."
"The actual interface is good."
"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."
"I like that SAP ASE can match code and the database index to index data in the programming language. There are many other valuable features, such as the table buffer, tuning, and various control agents like dispatcher. SAP ASE can handle many different data types, including views, domains, data elements, structures, objects, and various table types that are most useful in the application. Its modularization technique is also handy."
"SAP Adaptive Server Enterprise was basically as good as its rivals in my experience."
 

Cons

"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"The biggest problem is the cost of cloud deployment."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"Suboptimal projection design causes queries to not scale linearly."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"They could improve on customer service."
"There could be some improvements in barcode scanning and RFID access."
"The solution should improve view partitioning. The documentation is very confined and available only for users. Distributors also would like access to it."
"Cost-wise, SAP is still expensive compared to other available products."
"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."
"Because the solution is customized. we do occasionally face unique bugs. There are always some changes that need to be made here and there."
"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."
"They turned a functional product into something where you have to go through a difficult process to do the conversion."
 

Pricing and Cost Advice

"The pricing for this solution is very reasonable compared to other vendors."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"It is fast to purchase through the AWS Marketplace."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"It's an expensive product"
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"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."
"The licensing cost for ASE is pretty low."
report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
882,744 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Comms Service Provider
5%
Manufacturing Company
15%
Financial Services Firm
12%
Healthcare Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise41
By reviewers
Company SizeCount
Small Business3
Large Enterprise11
 

Questions from the Community

What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
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

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
SAP ASE
 

Overview

 

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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 Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: February 2026.
882,744 professionals have used our research since 2012.