Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

The compared Exasol and OpenText solutions aren't in the same category. Exasol is ranked #32 in SQL , and holds a 1.4% mindshare in the category. OpenText is ranked #6 in Data Warehouse , with an average rating of 8.0, and holds a 5.0% 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

827 Views
728 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

4,478 Views
2,105 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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March 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

Exasol Data Warehouse

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Relational Databases Tools (32nd)

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)

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 1.4%, up 0.5% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.0% mindshare, down 8.3% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Exasol Data Warehouse	1.4%
SQL Server	11.9%
Oracle Database	11.5%
Other	75.2%

Relational Databases Tools

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.0%
Snowflake	10.2%
Teradata	9.0%
Other	75.8%

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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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

Quotes from Members

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

Pros

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

"We mainly chose Exasol for its performance reasons."

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

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

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

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

"Its speed is great."

"It is easy to scale."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."

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

"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. "

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

"The initial setup was straightforward."

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

"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

Cons

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

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

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

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

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

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

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

"Lacks a cloud-based platform."

"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."

"We faced some challenges when trying to use the temporary tables feature."

"The geospatial functionality could be designed better."

"OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud."

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

"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."

"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."

"The integration of this solution with ODI could be improved."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

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

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

"It's an expensive product"

"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 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."

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

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

"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."

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Government

Financial Services Firm

Computer Software Company

Outsourcing Company

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

Marketing Services Firm

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	42

Questions from the Community

Ask a question

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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?

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) can be improved by adding some more features in analytics. OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which featu...

See all answers

Comparisons

SQL Server vs Exasol Data Warehouse

Compared 15% of the time

Oracle Database vs Exasol Data Warehouse

Compared 12% of the time

Teradata vs Exasol Data Warehouse

Compared 11% of the time

Oracle Database In-Memory vs Exasol Data Warehouse

Compared 9% of the time

Oracle Database Cloud Service vs Exasol Data Warehouse

Compared 8% of the time

More Exasol Data Warehouse Competitors

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 6% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 6% of the time

Amazon Redshift vs OpenText Analytics Database (Vertica)

Compared 5% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

March 2026

Download Exasol Data Warehouse product report

Buyer's Guide

OpenText Analytics Database (Vertica)

March 2026

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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