OpenText Analytics Database (Vertica) vs SAP SQL Anywhere comparison

Why PeerSpot?

The compared OpenText and SAP solutions aren't in the same category. OpenText is ranked #6 in Data Warehouse , with an average rating of 8.5, and holds a 6.3% mindshare in the category. SAP is ranked #35 in SQL , and holds a 1.5% 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

9,432 Views
5,376 Comparison Views

91% willing to recommend

SAP SQL Anywhere

Read 6 SAP SQL Anywhere reviews

1,708 Views
1,571 Comparison Views

83% willing to recommend

OpenText Analytics Database...

SAP SQL Anywhere

Comparison Buyer's Guide

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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.

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

Buyer's Guide

Data Warehouse

September 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 (6th), 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 6.3%, down 6.7% compared to last year.
SAP SQL Anywhere, on the other hand, focuses on Relational Databases Tools, holds 1.5% mindshare, up 1.1% since last year.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	6.3%
Teradata	9.0%
Snowflake	8.9%
Other	75.8%

Data Warehouse

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
SAP SQL Anywhere	1.5%
SQL Server	10.3%
Oracle Database	10.3%
Other	77.9%

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

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…

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Before Vertica, we used a combination of sharded RDBMSs and Hive: the typical runtime for a query was in the hours; it's now in the seconds, with way more data than then (we're talking hundreds of terabytes)."

"Vertica is superior to other solutions in query performance."

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

"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."

"We were able to implement new algorithms without having to move data out of Vertica into a compute cluster."

"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."

"The most valuable feature is Vertica's performance and the ease of using the database."

"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."

More OpenText Analytics Database (Vertica) pros

"It works well in general."

"SAP SQL Anywhere is very helpful."

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

"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."

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

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

Cons

"Stability is good, however the database crashed once because a query ran against a large XML data element."

"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."

"Pricing could be more competitive."

"Vertica can improve automation and documentation. Additionally, the solution can be simplified."

"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."

"Improve Vertica logging and messages to Vertica startup commands."

"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."

"It needs to handle high concurrency short queries better as Vertica is not handling these well, and we have had to develop our own tool to help us with our dashboard."

More OpenText Analytics Database (Vertica) cons

"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."

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

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

"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."

Pricing and Cost Advice

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

"Read the fine print carefully."

"It's an expensive product"

"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October)."

"The solution is free and we pay for the storage."

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

"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."

"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."

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

14%

Outsourcing Company

13%

Manufacturing Company

10%

Comms Service Provider

Healthcare Company

Construction Company

University

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	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

Teradata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 7% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 5% of the time

Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica)

Compared 4% of the time

TIBCO Live Datamart vs OpenText Analytics Database (Vertica)

Compared 3% of the time

More OpenText Analytics Database (Vertica) Competitors

SQL Server vs SAP SQL Anywhere

Compared 15% of the time

MySQL vs SAP SQL Anywhere

Compared 14% of the time

Oracle Database vs SAP SQL Anywhere

Compared 12% of the time

SAP IQ vs SAP SQL Anywhere

Compared 7% of the time

SAP Adaptive Server Enterprise vs SAP SQL Anywhere

Compared 6% of the time

More SAP SQL Anywhere Competitors

Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

September 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

Relational Databases Tools

September 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: September 2026.

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