Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

Why PeerSpot?

The compared Exasol and OpenText solutions aren't in the same category. Exasol is ranked #36 in SQL , and holds a 1.4% mindshare in the category. OpenText is ranked #5 in Data Warehouse , with an average rating of 8.5, and holds a 6.5% 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

2,105 Views
1,895 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

10,194 Views
5,913 Comparison Views

91% willing to recommend

Exasol Data Warehouse

OpenText Analytics Database...

Comparison Buyer's Guide

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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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October 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 (36th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Cloud Data Warehouse (12th)

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 1.2% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 6.5% mindshare, up 6.3% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Exasol Data Warehouse	1.4%
Oracle Database	10.3%
SQL Server	10.2%
Other	78.1%

Relational Databases Tools

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	6.5%
Teradata	9.1%
Snowflake	8.8%
Other	75.6%

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

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

"Its speed is great."

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

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

"We mainly chose Exasol for its performance reasons."

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

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

"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."

More Exasol Data Warehouse pros

"It is the foundation of our new Data Warehouse platform."

"Do you want to stand up a data warehouse in a reasonable amount of time using the in-house skills accustomed to dealing with an RDBMS? If that is the case, nothing beats Vertica, hands down."

"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 use the solution because it is very good, you can make interconnections with anything to collect the data, any type of data."

"In other databases, information will return in hours or even days while in Vertica it will be finished in minutes or even seconds."

"It has provided much better performance than SQL Server for big data analytics."

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

"We use Vertica as our primary data warehouse."

More OpenText Analytics Database (Vertica) pros

Cons

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

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

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

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

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

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

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

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

More Exasol Data Warehouse cons

"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."

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

"I think it's starting to get a little expensive."

"We have found multiple issues with deployment. Deployment was by far the hardest step in the process."

"It needs integration with multiple clouds."

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

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

"Even with some optimization (adding projections for merge joins and grouped by pipelined), it's still taking a longer time than a Spark job in some cases."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

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

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

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

"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."

"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 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."

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

"It's an expensive product"

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

14%

Construction Company

11%

Comms Service Provider

11%

Manufacturing Company

Financial Services Firm

16%

Outsourcing Company

13%

Manufacturing Company

10%

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	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 8% of the time

Oracle Database vs Exasol Data Warehouse

Compared 6% of the time

IBM Db2 Database vs Exasol Data Warehouse

Compared 6% of the time

Oracle Database Cloud Service vs Exasol Data Warehouse

Compared 5% of the time

More Exasol Data Warehouse Competitors

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

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Exasol Data Warehouse

October 2026

Download Exasol Data Warehouse product report

Buyer's Guide

OpenText Analytics Database (Vertica)

October 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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