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 #5 in Data Warehouse , with an average rating of 8.3, and holds a 5.8% mindshare in the category. SAP is ranked #20 in SQL , with an average rating of 8.5, and holds a 1.4% 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 90 OpenText Analytics Database (Vertica) reviews

7,140 Views
3,784 Comparison Views

91% willing to recommend

SAP Adaptive Server Enterprise

Read 14 SAP Adaptive Server Enterprise reviews

1,726 Views
1,640 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: May 2026).

Buyer's Guide

Data Warehouse

May 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

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), 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 5.8%, down 7.8% compared to last year.
SAP Adaptive Server Enterprise, on the other hand, focuses on Relational Databases Tools, holds 1.4% mindshare, up 0.9% since last year.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.8%
Snowflake	9.3%
Teradata	8.7%
Other	76.2%

Data Warehouse

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
SAP Adaptive Server Enterprise	1.4%
SQL Server	10.6%
Oracle Database	10.5%
Other	77.5%

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.

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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 Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

"I like the projection feature, which increases query performance."

"We are using Vertica because it is a fast and reliable data warehousing tool and provides us a very good data compression ratio."

"The most valuable feature is the merge function, which is essentially the upsert function, and it has become our ELT pattern because, unlike when we used the ETL tool to manage upserts, the load time is now pretty much flat relative to the volume of records processed."

"It has provided much better performance than SQL Server for big data analytics."

"The performance is very good and the aggregate records are fast."

"It is the foundation of our new Data Warehouse platform."

"Its projections and encoding are excellent tools for tuning large volumes."

More OpenText Analytics Database (Vertica) pros

"The financials is the most valuable feature for us in operational terms because we deal with a lot of services and SAP has integrated everything for us, both financial reporting and operations."

"It's user-friendly, especially in the logistics field."

"I like that SAP ASE can match code and the database index to index data in the programming language."

"During the last 20 years, I have never had a stability problem with this product."

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

"Provides very good integration."

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

"This product has my complete confidence."

More SAP Adaptive Server Enterprise pros

Cons

"Vertica’s resource demands for RAM and I/O during load and storage were challenging for our platform."

"We have found multiple issues with deployment. Deployment was by far the hardest step in the process."

"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."

"Their support is really bad. Maybe Micro Focus has changed but they were not good before."

"Ability to use analytic functions in where clauses, being able to use aliases in the where and order by clauses will make query writing/reading a lot easier."

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

"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."

"We can’t use Vertica as a transactional database because it is unable to handle lot of transactions."

More OpenText Analytics Database (Vertica) cons

"There could be some improvements in barcode scanning and RFID access."

"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."

"User interface could be more user friendly."

"Because the solution is customized. we do occasionally face unique bugs. There are always some changes that need to be made here and there."

"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."

"There is lack of good support in Mexico - I would prefer Oracle or IBM over SAP in terms of support."

"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."

More SAP Adaptive Server Enterprise cons

Pricing and Cost Advice

"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."

"Read the fine print carefully."

"From a cost perspective, the software is less than most of its competitors."

"It's free up to three nodes and 1TB, and then get in contact with their sales guys."

"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."

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

"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."

"The solution is relatively cost-effective."

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

11%

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Construction Company

14%

Manufacturing Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	11

Questions from the Community

What is your experience regarding pricing and costs for Vertica?

My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.

See all answers

What needs improvement with Vertica?

OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...

See all answers

What is your primary use case for Vertica?

The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...

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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 8% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

Actian ParAccel vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

SAP IQ vs SAP Adaptive Server Enterprise

Compared 17% of the time

SAP HANA vs SAP Adaptive Server Enterprise

Compared 16% of the time

Oracle Database vs SAP Adaptive Server Enterprise

Compared 10% of the time

SQL Server vs SAP Adaptive Server Enterprise

Compared 10% of the time

IBM Db2 Database vs SAP Adaptive Server Enterprise

Compared 8% of the time

More SAP Adaptive Server Enterprise Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

May 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

SAP Adaptive Server Enterprise

May 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 delivers customizable operations and reliable OLTP features crucial for banking, being resource-efficient and SQL-capable while maintaining high security and performance standards, though updates and cross-platform conversion can be challenging.

SAP Adaptive Server Enterprise is tailored for environments needing secure, efficient data handling. Its OLTP capabilities make it a top choice for banking and finance by ensuring smooth transactions. While the database supports multiple data types and cloud integration, it is essential to address the need for user-friendly interfaces and better synchronization features. Although its transaction management isn't as competitive compared to Oracle and PostgreSQL, its SQL capabilities and security tools remain highly regarded. Users primarily utilize it for data storage, scripting, and operational management across development environments, including banking, enabling effective data manipulation and storage.

What are the standout features of SAP Adaptive Server Enterprise?

Customizable Operations: Tailored configurations for diverse business needs.
Strong OLTP Features: Efficient and swift transaction processing.
SQL Capabilities: Robust tools for SQL programming and querying.
Financial Integration: Seamlessly handles financial data and transactions.
Cloud Integration: Supports integration with cloud-based storage and services.

What benefits should users look for when evaluating SAP Adaptive Server Enterprise?

Cost Efficiency: Requires minimal resources for effective performance.
User-friendliness: Easy learning curve for new users and developers.
High Security: Strong measures to protect sensitive data.
Efficient Transaction Handling: Smooth management of complex transactions.
Reliability: Consistent performance with minimal downtime.

SAP Adaptive Server Enterprise is widely implemented in banking, dealing with efficient data manipulation and storing historical data crucial for operations. It is leveraged for both financial and operational management tasks, including planning and logistics. The database's robust features extend benefits to industries requiring rigorous data management, such as development, testing, and production environments connected across banking networks, focusing on main data handling and replication tasks.

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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