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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
86
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 5.8%, 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 0.9% since last year.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
OpenText Analytics Database (Vertica)5.8%
Snowflake10.4%
Oracle Exadata9.9%
Other73.9%
Data Warehouse
Relational Databases Tools Market Share Distribution
ProductMarket Share (%)
SAP Adaptive Server Enterprise1.2%
SQL Server12.1%
Oracle Database11.5%
Other75.2%
Relational Databases Tools
 

Featured Reviews

T Venkatesh - PeerSpot reviewer
Deputy Manager at ICICIBANK Ltd
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…
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

"The extensibility and efficiency provided by their C++ SDK."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"I like the projection feature, which increases query performance."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"The solution is quick, has good compression data, and is not expensive."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"The most valuable feature is Vertica's performance and the ease of using the database."
"It's pretty good at handling a large number of transactions, which is critical for a banking client."
"It's user-friendly, especially in the logistics field."
"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."
"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."
"They provide easy integration with other systems."
"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."
 

Cons

"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"They could improve on customer service."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Suboptimal projection design causes queries to not scale linearly."
"We faced some challenges when trying to use the temporary tables feature."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Because the solution is customized. we do occasionally face unique bugs. There are always some changes that need to be made here and there."
"User interface could be more user friendly."
"Cost-wise, SAP is still expensive compared to other available products."
"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."
"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."
"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."
"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 and licensing depend on the size of your environment and the zone where you want to implement."
"The solution is relatively cost-effective."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"It is fast to purchase through the AWS Marketplace."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"The pricing could improve, it is a little expensive."
"Vertica is an expensive tool."
"I rate SAP Adaptive Server Enterprise's pricing a six out of ten."
"Price-wise, the product is worth it since one needs very less infrastructure to use it."
"The licensing cost for ASE is pretty low."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Manufacturing Company
9%
Comms Service Provider
5%
Manufacturing Company
16%
Financial Services Firm
10%
Healthcare Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise38
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
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