OpenText Analytics Database (Vertica) vs SAP Adaptive Server Enterprise comparison

The compared OpenText and SAP solutions aren't in the same category. OpenText is ranked #6 in Data Warehouse , with an average rating of 8.0, and holds a 5.0% mindshare in the category. SAP is ranked #20 in SQL , with an average rating of 8.0, and holds a 1.2% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 85% of SAP users who would recommend it.

OpenText Analytics Database...

Read 89 OpenText Analytics Database (Vertica) reviews

4,478 Views
2,105 Comparison Views

91% willing to recommend

SAP Adaptive Server Enterprise

Read 14 SAP Adaptive Server Enterprise reviews

1,063 Views
989 Comparison Views

85% willing to recommend

OpenText Analytics Database...

SAP Adaptive Server Enterprise

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Executive Summary

We performed a comparison between OpenText Analytics Database (Vertica) and SAP Adaptive Server Enterprise based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: February 2026).

Buyer's Guide

Data Warehouse

February 2026

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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

Ranking in other categories

Data Warehouse (6th), Cloud Data Warehouse (11th)

SAP Adaptive Server Enterprise

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

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 5.0%, down 8.3% 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
Product	Market Share (%)
OpenText Analytics Database (Vertica)	5.0%
Snowflake	10.2%
Teradata	9.0%
Other	75.8%

Data Warehouse

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
SAP Adaptive Server Enterprise	1.2%
SQL Server	11.9%
Oracle Database	11.5%
Other	75.4%

Relational Databases Tools

Featured Reviews

Jitendrak Naik

consultant at tcs

Data warehousing has transformed reporting performance and now delivers near real-time insights

OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

Read full review

reviewer2784705

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.

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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 feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."

"Speed and resiliency are probably the best parts of this product."

"OpenText Analytics Database (Vertica) has improved our reporting performance by nearly 90 percent, reduced ETL processing time by more than half, and saved around 70 percent in storage through compression."

"I enjoy the cybersecurity and backup features."

"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 product's initial setup phase is extremely simple."

"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

More OpenText Analytics Database (Vertica) 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."

"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."

"It's pretty good at handling a large number of transactions, which is critical for a banking client."

"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."

"They provide easy integration with other systems."

"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."

"SAP Adaptive Server Enterprise is a good transactional database."

"SAP Adaptive Server Enterprise was basically as good as its rivals in my experience."

More SAP Adaptive Server Enterprise pros

Cons

"When it is about to reach the maximum storage capacity, it becomes slow."

"Pricing could be more competitive."

"We faced some challenges when trying to use the temporary tables feature."

"Vertica's native cloud support could be improved, and its installation could be made easier."

"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."

"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."

"OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud."

"The documentation of Vertica is an area with shortcomings where improvements are required."

More OpenText Analytics Database (Vertica) cons

"The overall performance of the product is an area where the tool has certain shortcomings and needs to improve."

"They turned a functional product into something where you have to go through a difficult process to do the conversion."

"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."

"Cost-wise, SAP is still expensive compared to other available products."

"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."

"When we acquire a new project that is sometimes related to data migrations, after getting those data, there are lots of deadlocks happening."

"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."

More SAP Adaptive Server Enterprise cons

Pricing and Cost Advice

"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."

"The solution is relatively cost-effective."

"The pricing could improve, it is a little expensive."

"I am aware that we have licensed it, but I have no knowledge of its cost."

"Read the fine print carefully."

"It's an expensive product"

"It is fast to purchase through the AWS Marketplace."

"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."

More OpenText Analytics Database (Vertica) pricing and cost advice

"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

17%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Manufacturing Company

15%

Financial Services Firm

12%

Healthcare Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	41

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	11

Questions from the Community

What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

See all answers

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.

See all answers

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.

See all answers

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...

See all answers

What needs improvement with SAP Adaptive Server Enterprise?

See all answers

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...

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Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 7% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 7% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 5% of the time

More OpenText Analytics Database (Vertica) Competitors

SAP HANA vs SAP Adaptive Server Enterprise

Compared 21% of the time

SAP IQ vs SAP Adaptive Server Enterprise

Compared 16% of the time

SQL Server vs SAP Adaptive Server Enterprise

Compared 15% of the time

Oracle Database In-Memory vs SAP Adaptive Server Enterprise

Compared 14% of the time

IBM Netezza Performance Server vs SAP Adaptive Server Enterprise

Compared 14% of the time

More SAP Adaptive Server Enterprise Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

February 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

SAP Adaptive Server Enterprise

February 2026

Download SAP Adaptive Server Enterprise product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

SAP ASE

Overview

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

SAP Adaptive Server Enterprise (ASE) is a high-performance relational database management system designed for mission-critical, data-intensive environments. It provides a centralized environment for storing and managing data, with the ability to handle a wide range of data types and a modularization technique allowing easy customization.

SAP ASE is particularly valuable for financial operations, as it offers integrated financial features. The solution also offers various control agents and the ability to match code and database index. SAP ASE has improved daily data collection and program functionality for many organizations.

SAP

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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