Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

The compared Exasol and OpenText solutions aren't in the same category. Exasol is ranked #34 in SQL , and holds a 1.4% mindshare in the category. OpenText is ranked #5 in Data Warehouse , with an average rating of 8.2, and holds a 5.7% 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

1,658 Views
1,476 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

8,038 Views
4,421 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 2026

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Helped 908,834 peers since 2012

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 (34th)

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)

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 1.0% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.7% mindshare, down 7.7% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Exasol Data Warehouse	1.4%
SQL Server	10.4%
Oracle Database	10.4%
Other	77.8%

Relational Databases Tools

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.7%
Snowflake	9.4%
Teradata	8.6%
Other	76.3%

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

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

"This solution is extremely fast and very stable; you set it up and put your data on it and as long as it's structured, it self-tunes queries and doesn't require a database administrator."

"Its speed is great."

"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."

"It is easy to scale."

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

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

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

More Exasol Data Warehouse pros

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

"Since moving to Vertica all the manual maintenance and speed issues of the Oracle data warehouse are left behind."

"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."

"Vertica handles analytics and large queries extremely well — very high performance — and on top of all of these features, Vertica has a very low total cost ownership."

"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."

"I have seen queries that take over 24 hours on MS SQL Server to complete, complete in less than 10 minutes on Vertica."

"We use Vertica as our primary data warehouse."

"SQLs querys 10 to 1 more fast that another commercial databases"

More OpenText Analytics Database (Vertica) pros

Cons

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

"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."

"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."

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

"The price is quite expensive relative to other similar solutions, it could be more accessible in that sense."

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

More Exasol Data Warehouse cons

"Pricing could be more competitive."

"Whatever is out, the core is not always as great as the engine, especially their first version."

"It would be great if this were a managed service in AWS."

"The product could be less expensive and could benefit from a better marketing strategy."

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

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

"We can’t use Vertica as a transactional database because it is unable to handle lot of transactions."

"Sometimes users write bad queries that has brought down the cluster."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

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

"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 could improve, it is a little expensive."

"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."

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

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

"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."

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

11%

Outsourcing Company

10%

Financial Services Firm

Government

Financial Services Firm

16%

Outsourcing Company

Computer Software Company

Manufacturing Company

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	43

Questions from the Community

Ask a question

Earn 20 points

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...

See all answers

Comparisons

SQL Server vs Exasol Data Warehouse

Compared 11% of the time

Teradata vs Exasol Data Warehouse

Compared 9% of the time

Oracle Database vs Exasol Data Warehouse

Compared 8% of the time

IBM Db2 Database vs Exasol Data Warehouse

Compared 7% of the time

Oracle Database Cloud Service vs Exasol Data Warehouse

Compared 6% of the time

More Exasol Data Warehouse Competitors

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

Product Reports

Buyer's Guide

Exasol Data Warehouse

August 2026

Download Exasol Data Warehouse product report

Buyer's Guide

OpenText Analytics Database (Vertica)

July 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 Data Warehouse is renowned for its exceptional speed and automatic optimization, making it user-friendly. It enhances data processing on platforms such as Tableau, ensuring efficient dashboards for users across countries.

Exasol Data Warehouse offers an impressive performance by outperforming competitors like SQL Server and Oracle. Its automatic optimization and hands-off setup simplify deployment, while robust SQL support and self-tuning capabilities improve workflows. Users benefit from its high processing speed, supporting efficient data queries and broader workflows, alongside an intuitive interface and comprehensive documentation. Despite its performance strengths, it struggles with global recognition, connectivity, and integration. Challenges include custom role creation and security, with limited row-level security support. Users seek more frequent updates and better compatibility with languages such as Python and R. It requires specific drivers, is not cloud-native, and has a high cost. With limited resources available, security features for MPP processing need enhancement.

What are the key features of Exasol?

Impressive Speed: Outperforms counterparts in data processing, enhancing efficiency.
Automatic Optimization: Boosts performance and ease of use.
Robust SQL Support: Facilitates seamless data handling and queries.
Self-Tuning Capabilities: Reduces manual intervention for users.
Intuitive Interface: Enhances user engagement and accessibility.

What benefits should users look for in Exasol?

Enhanced Performance: Streamlines and accelerates BI functions.
Improved Dashboard Efficiency: Increases effectiveness on platforms like Tableau.
Ease of Use: Simplifies set-up with hands-off setup and self-tuning.
Broad Integration: Acts as backend for tools like MicroStrategy.
Central Data Repository: Supports critical data management across regions.

Exasol Data Warehouse is implemented to enhance performance in reporting systems and development processes, serving teams in Mexico, Colombia, and Brazil. It acts as a backend for reporting tools such as MicroStrategy while accelerating BI functions. It supports the resolutions of data issues from tools like Tableau, provides ad-hoc analysis, and manages critical data points efficiently.

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 2026

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