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 8.2, and holds a 5.7% mindshare in the category. SAP is ranked #35 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

8,038 Views
4,421 Comparison Views

91% willing to recommend

SAP SQL Anywhere

Read 6 SAP SQL Anywhere reviews

1,381 Views
1,284 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, Teradata, Oracle and others in Data Warehouse.

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Data Warehouse

August 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 (35th)

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 5.7%, down 7.7% compared to last year.
SAP SQL Anywhere, 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)	5.7%
Snowflake	9.4%
Teradata	8.6%
Other	76.3%

Data Warehouse

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
SAP SQL Anywhere	1.4%
SQL Server	10.4%
Oracle Database	10.4%
Other	77.8%

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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Mehak TAlwar

Automation Project Manager at a manufacturing company with 10,001+ employees

Scalable, easy to use, but stability could improve

We use SAP SQL Anywhere because we have a lot of Power BI reports that connect with the SQL database that we have for our robotic process automation data. We create procedures and other elements within the solution The most valuable features of SAP SQL Anywhere are the ease of use and the user…

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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

"Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution."

"OpenText Analytics Database (Vertica) has impacted our organization positively because earlier we used to use Teradata, and it was very slow, creating issues with processing as well, and OpenText Analytics Database (Vertica) has helped us a lot in terms of processing capabilities and the speed of querying."

"Vertica gives knowledgeable users and DBAs excellent tools for tuning."

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

"After upgrading to latest version, VBR backup used to take more than one week to back up 70 TB of data and now it is taking about 48 hours."

"Vertica stands top among its peers in the MPP world, delivering unparalleled speed and performance in query response time."

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

"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."

More OpenText Analytics Database (Vertica) pros

"It works well in general."

"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."

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

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

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

"SAP SQL Anywhere is very helpful."

Cons

"If you're working in a small business, it will tend to overtake most of their budget from a cost perspective because you need so many servers, so much storage, to be able to handle all that stuff."

"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."

"I would love to see direct connections to other DMSs."

"Profiling, query optimize, management."

"While the documentation is very extensive and relatively complete, it’s poorly organized and there are way too few examples."

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

"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."

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

More OpenText Analytics Database (Vertica) cons

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

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

"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."

"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."

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

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

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 free and we pay for the storage."

"The price could be cheaper and it is best to negotiate the price."

"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."

"Vertica is an expensive tool."

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

"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."

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

More OpenText Analytics Database (Vertica) pricing and cost advice

"SQL Anywhere cost us about $400."

"SAP SQL Anywhere is affordable."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Outsourcing Company

10%

Computer Software Company

Manufacturing Company

Healthcare Company

Construction Company

University

Manufacturing 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

IBM Netezza Performance Server 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 16% of the time

Oracle Database vs SAP SQL Anywhere

Compared 12% of the time

SAP Adaptive Server Enterprise vs SAP SQL Anywhere

Compared 7% of the time

SAP IQ vs SAP SQL Anywhere

Compared 7% of the time

More SAP SQL Anywhere Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

August 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Relational Databases Tools

August 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, Teradata, Oracle and others in Data Warehouse. Updated: August 2026.

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