Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

The compared Exasol and OpenText solutions aren't in the same category. Exasol is ranked #24 in SQL , with an average rating of 8.5, and holds a 1.0% mindshare in the category. OpenText is ranked #7 in Data Warehouse , with an average rating of 8.0, and holds a 7.8% 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

564 Views
474 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

4,357 Views
1,830 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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August 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 (24th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (7th), Cloud Data Warehouse (10th)

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 1.0%, up 0.3% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 7.8% mindshare, down 9.3% since last year.

Relational Databases Tools

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.

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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…

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

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

"We mainly chose Exasol for its performance reasons."

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

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

"It is easy to scale."

"Its speed is great."

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

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

"DBAs don’t need to add a partition every month/quarter like with other DBs."

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

"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."

"Partition and join back to node are easy and simple for DBAs."

"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."

"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."

"Vertica uses advanced Azure technologies to compress raw data using indexing, allowing a large amount of data to be stored with minimal physical space. Advanced algorithms are employed in data compression."

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

More OpenText Analytics Database (Vertica) pros

Cons

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

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

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

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

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

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

"Lacks a cloud-based platform."

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

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

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

"It should provide a GUI interface for data management and tuning."

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

"The geospatial functionality could be designed better."

"They could improve on customer service."

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

"Documentation has become much better, but can always use some improvement."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

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

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."

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

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

"The solution is relatively cost-effective."

"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."

"It's an expensive product"

"Read the fine print carefully."

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

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

Healthcare Company

Financial Services Firm

18%

Computer Software Company

17%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 21% of the time

SAP HANA vs Exasol Data Warehouse

Compared 16% of the time

Oracle Database vs Exasol Data Warehouse

Compared 14% of the time

Teradata vs Exasol Data Warehouse

Compared 14% of the time

More Exasol Data Warehouse Competitors

SQL Server vs OpenText Analytics Database (Vertica)

Compared 14% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 11% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Snowflake 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

August 2025

Download Exasol Data Warehouse product report

Buyer's Guide

OpenText Analytics Database (Vertica)

August 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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August 2025

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