OpenText Analytics Database (Vertica) vs SAP SQL Anywhere 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 #32 in SQL , and holds a 1.4% mindshare. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 83% 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 SQL Anywhere

Read 6 SAP SQL Anywhere reviews

1,221 Views
1,136 Comparison Views

83% willing to recommend

OpenText Analytics Database...

SAP SQL Anywhere

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Executive Summary

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

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

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Buyer's Guide

Data Warehouse

June 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 SQL Anywhere

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Relational Databases Tools (32nd)

Mindshare comparison

OpenText Analytics Database (Vertica) and SAP SQL Anywhere 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 SQL Anywhere, on the other hand, focuses on Relational Databases Tools, holds 1.4% mindshare, up 0.8% 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 SQL Anywhere	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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Crewmem67

IT Consultant at College Notre Dame de Nazareth

Reliable and able to expand but needs to be more secure

It is not as good as a SQL Server. I prefer to work with the SQL Server for Microsoft or Oracle. These are better as there are some comments on SQL Anywhere that makes me feel that I'm blocked. We'd like to have them update to a new version. They should update more often. I find I can't move to a new version without running tests as there are chances of bugs that can get into my system. The initial setup is not simple or straightforward, and it took a while to deploy. It is not as secure as it could be. This is an aspect they need to improve. There needs to be more encryption.

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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

"With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over."

"I would name HPE Vertica as the most mature columnar database with a best of class data storage and query engine."

"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "

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

"Vertica handles analytics and large queries extremely well — very high performance — and on top of all of these features, Vertica has a very low total cost ownership."

"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"

"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."

"OpenText Analytics Database (Vertica) has impacted my organization a lot in terms of driving the key results and giving the key insights to the leadership, and through those data points, a good amount of decisions have been made which was really helpful and impactful at an organizational level."

More OpenText Analytics Database (Vertica) pros

"The auto-backup replication is a perfect feature. That is the feature I liked the most."

"It works well in general."

"It's a great product to use if you are already have an integration with SAP's ERP/CRM systems."

"The most valuable features of SAP SQL Anywhere are the ease of use and the user interface is intuitive."

"SQL Anywhere is easy and it did not cost as much as SQL Microsoft."

"We've found the solution very reliable overall. It's very fast."

"SAP SQL Anywhere is very helpful."

Cons

"More ML, both data prep, models, evaluation and workflow."

"There is serious performance degradation for large datasets."

"Very bad support, I would rate it two out of 10."

"The integration with AI has room for improvement."

"Support is an area where it could get better."

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

"Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."

"Some GUI tools out of the box, better Python integration. I would love to see some nice query engine, tooled specifically to Vertica extensions of SQL (with IntelliSense)."

More OpenText Analytics Database (Vertica) cons

"It is not as secure as it could be."

"SAP SQL Anywhere needs to incorporate functionalities like SAP S/4HANA."

"A problem we are experiencing now is when doing a backup in SQL 2012 and 14 there's a problem with the license."

"Performance issues when syncing the MBO packages to the server."

"The interface is not easy in comparison to the SQL Server. It could be more user-friendly."

"It is not as secure as it could be; there needs to be more encryption and we can find passwords very easily."

"We have had some stability issues with SAP SQL Anywhere, but I am not sure if it is an application or network issue. We sometimes have a large amount of data being queried and it cannot handle it."

Pricing and Cost Advice

"The solution is relatively cost-effective."

"The pricing for this solution is very reasonable compared to other vendors."

"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."

"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."

"Read the fine print carefully."

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

"The price of Vertica is less expensive than some competitors, such as Teradata."

"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

"SAP SQL Anywhere is affordable."

"SQL Anywhere cost us about $400."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Computer Software Company

10%

Construction Company

University

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

No data available

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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Comparisons

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 7% 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

More OpenText Analytics Database (Vertica) Competitors

MySQL vs SAP SQL Anywhere

Compared 16% of the time

SQL Server vs SAP SQL Anywhere

Compared 15% of the time

Oracle Database vs SAP SQL Anywhere

Compared 13% of the time

SAP IQ vs SAP SQL Anywhere

Compared 7% of the time

SAP HANA vs SAP SQL Anywhere

Compared 7% of the time

More SAP SQL Anywhere Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

June 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Relational Databases Tools

May 2026

Download SAP SQL Anywhere product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Sybase SQL Anywhere

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 SQL Anywhere provides rugged database management for diverse environments, efficiently handling data synchronization and processing for embedded and mobile applications. Its flexibility and reliability make it suitable for enterprises needing robust data solutions.

SAP SQL Anywhere is known for its ability to run in resource-constrained environments, supporting mobile and remote database access without sacrificing performance. It offers comprehensive data management capabilities, ensuring seamless data integration and synchronization across varying platforms. This scalability complements business growth and evolving data needs, providing a cost-effective way to manage data across mobile and embedded applications.

What are the noteworthy features of SAP SQL Anywhere?

SQL Database Server: Efficiently manages data with full support for SQL standards.
Data Synchronization: Ensures consistent data across multiple devices in real-time.
Cross-platform Support: Operates on multiple operating systems, enhancing versatility.
Security Features: Provides encryption and authentication for data protection.

Why choose SAP SQL Anywhere for your business?

Cost Efficiency: Reduces IT overhead with minimal maintenance requirements.
Adaptability: Fits seamlessly into existing infrastructures, reducing integration costs.
Scalability: Grows with business needs without requiring substantial reinvestment.
Reliability: Offers high performance even in offline settings, ensuring continuous access.

Industries such as retail, healthcare, and manufacturing use SAP SQL Anywhere to support mobile field operations, enabling data access and updates in remote locations. This adaptability enhances operational efficiency, providing crucial support in environments where real-time data handling is critical.

SAP

Sample Customers

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, RZD Russian Railways, National Basketball Association, TALLY WEiJL

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: June 2026.

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