Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

The compared Exasol and OpenText solutions aren't in the same category. Exasol is ranked #23 in SQL , with an average rating of 8.5, and holds a 1.1% mindshare in the category. OpenText is ranked #7 in Data Warehouse , with an average rating of 7.6, and holds a 6.9% mindshare. Additionally, 100% of Exasol users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

Exasol Data Warehouse

Read 8 Exasol Data Warehouse reviews

579 Views
498 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

3,844 Views
1,653 Comparison Views

91% willing to recommend

Exasol Data Warehouse

OpenText Analytics Database...

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Executive Summary

We performed a comparison between Exasol Data Warehouse and OpenText Analytics Database (Vertica) based on real PeerSpot user reviews.

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September 2025

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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

Exasol Data Warehouse

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Relational Databases Tools (23rd)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (7th), Cloud Data Warehouse (11th)

Mindshare comparison

Exasol Data Warehouse and OpenText Analytics Database (Vertica) aren’t in the same category and serve different purposes. Exasol Data Warehouse is designed for Relational Databases Tools and holds a mindshare of 1.1%, up 0.4% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 6.9% mindshare, down 9.2% since last year.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Exasol Data Warehouse	1.1%
SQL Server	15.5%
Oracle Database	12.6%
Other	70.8%

Relational Databases Tools

Data Warehouse Market Share Distribution
Product	Market Share (%)
OpenText Analytics Database (Vertica)	6.9%
Oracle Exadata	14.2%
Snowflake	12.5%
Other	66.4%

Data Warehouse

Featured Reviews

Shubham-Agarwal

Manager - Projects at Cognizant

Fast query processing and easy-to-store all the data

There are very few companies that are using Exasol, but the majority of companies are using SQL Server, Cloud or IBM Db2 Database, or any other databases. Therefore, the resources are limited, which is my only concern. So if I face any issues, limited resources are available to help me resolve the issue with Exasol. From that perspective, it can be a bit of a struggle for me to find a solution. In the next release, I would like to see better compatibility issues. Currently, Exasol has limited compatibility with other software like Python and R. For example, If I talk about SQL Server, we can connect it to big data or Python, which is also compatible with different servers.

Read full review

T Venkatesh

Deputy Manager at ICICIBANK Ltd

Processes query faster through multiple systems simultaneously, but it could support different data types

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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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 solution is hands-off; you set it up insert your data and it self tunes queries."

"The speed is very good compared to other databases, like SQL Server or Oracle."

"We mainly chose Exasol for its performance reasons."

"Its speed is great."

"The most valuable feature of Exasol is its speed."

"It is easy to scale."

"Performance is a top priority, and it excels in this aspect."

"We can quickly scale the solution as it works on an MPP system."

"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."

"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."

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

"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."

"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "

"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."

"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."

"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."

More OpenText Analytics Database (Vertica) pros

Cons

"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."

"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."

"It's not cloud-native so many maintenance operations require downtime."

"There are limited resources available to help me resolve the issue with Exasol."

"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."

"They should improve the security features for MPP processing."

"Lacks a cloud-based platform."

"It would be beneficial if the updates would occur more often."

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

"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."

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

"Suboptimal projection design causes queries to not scale linearly."

"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."

"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."

"I have found that coding support could be simplified."

"In our company, we have faced difficulties in scaling the solution for certain use cases."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"The solution's cost is mid-ranged."

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

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

"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."

"The pricing and licensing depend on the size of your environment and the zone where you want to implement."

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

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

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

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Retailer

18%

Computer Software Company

Logistics Company

Financial Services Firm

18%

Computer Software Company

16%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	38

Questions from the Community

What do you like most about Exasol?

The most valuable feature of Exasol is its speed.

See all answers

What needs improvement with Exasol?

You have to use upper-column names in Exasol, which is strange. You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems.

See all answers

What is your primary use case for Exasol?

We implemented our data problem issues from Tableau. We inserted the data into the Exasol database in order to run 10 to 20 reports from Tableau. This was just a small but problematic report for us.

See all answers

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

Comparisons

SQL Server vs Exasol Data Warehouse

Compared 17% of the time

Teradata vs Exasol Data Warehouse

Compared 15% of the time

MySQL vs Exasol Data Warehouse

Compared 14% of the time

Oracle Database vs Exasol Data Warehouse

Compared 13% of the time

More Exasol Data Warehouse Competitors

SQL Server vs OpenText Analytics Database (Vertica)

Compared 13% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 12% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

October 2025

Download Exasol Data Warehouse product report

Buyer's Guide

OpenText Analytics Database (Vertica)

September 2025

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

Exasol is a high-performance data warehouse solution that accelerates BI and reporting features. Its speed, stability, and self-tuning queries make it valuable, and it doesn't require a database administrator. It's a backend database for Tableau dashboards, resulting in faster report loading times and increased efficiency in querying data.

Exasol's high performance allows users to connect insights and fire queries instead of looking at cached dashboards. It has impressive aggregation capabilities that help calculate metrics on the fly based on user-selected filters.

Exasol

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

Sample Customers

1&1 Internet SE 11880 Internet Services AG AB Svenska Spel Accarda AG Aera Technology Inc. AGRAVIS Raiffeisen AG Apotheken-Rechen-Zentrum GmbH AQR Capital Management, LLC arvato distribution GmbH ARZ Allgemeines Rechenzentrum GmbH Badoo Limited Baur Versand (GmbH & Co. KG) BIScience Ltd Blocket Blue Yonder GmbH Codilink UK Ltd T/A Coniq crealytics GmbH dailyme TV GmbH Dailymotion S.A. Dataforce Verlagsgesellschaft für Business Information mbH Deutsche Postbank AG Digitales Rezept Zentrum GmbH DIKW Groep direct services Gütersloh GmbH DR Technologies Ltd. dress-for-less GmbH econda GmbH emetriq GmbH empiriecom GmbH & Co. KG Flaconi GmbH Fresenius Netcare GmbH Fyber GmbH GfK SE Grant Street Group, Inc. Gruner + Jahr GmbH Gymshark UK Hahn Air Lines GmbH Hermes Einrichtungs Service GmbH & Co. KG INNOVATIVE SCHEDULING, LLC internetstores GmbH INTERSPORT Deutschland eG IQVIA Commercial GmbH & Co. OHG IQVIA Commercial Sp. z o.o. IQVIA Incorporated iVantage Health Analytics K - Mail Order GmbH & Co. KG LIQ CORP SA Manor AG Basel Match2Lists Limited MEDION AG Midasplayer AB Monsoon Accessorize Limited m-pathy GmbH msales Ltd. MTG Modern Services AB MW Aviation GmbH & Co. KG Myntra Designs Pvt Ltd Netzeffekt GmbH New Company Services Ltd. NOVENTI HealthCare GmbH Olympus Europa SE & Co. KG Operation Fistula OpsDataStore OTTO (GmbH & Co KG) Panda Retail Co. PAPSTAR GmbH Piedmont Healthcare, Inc. Questback GmbH RatePAY GmbH Revolut Ltd. Saarland-Sporttoto GmbH Sagarmatha Ltd. SIA Damara Technologies Supermärkte Nord Vertriebs GmbH & Co. KG The National Research Center for College & University Admissions, Inc. United Utilities Water Ltd. Verlag C.H. Beck oHG Vocal Planet Ltd. Vodafone Group Services GmbH Webtrekk GmbH wer liefert was? GmbH Windeln.de SE Wooga GmbH XING SE Zalando SE

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

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