Try our new research platform with insights from 80,000+ expert users

Exasol Data Warehouse vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive Summary

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
8
Ranking in other categories
Relational Databases Tools (32nd)
OpenText Analytics Database...
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (10th), 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 0.5% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.3% mindshare, down 8.6% since last year.
Relational Databases Tools Market Share Distribution
ProductMarket Share (%)
Exasol Data Warehouse1.4%
SQL Server11.8%
Oracle Database11.7%
Other75.1%
Relational Databases Tools
Data Warehouse Market Share Distribution
ProductMarket Share (%)
OpenText Analytics Database (Vertica)5.3%
Snowflake10.1%
Teradata9.4%
Other75.2%
Data Warehouse
 

Featured Reviews

reviewer2132565 - PeerSpot reviewer
Head Of Engineering Commercial Planning & Trading Data Platform at Zalando SE
Fast, reliable, and rock solid
The solution is intended as the backend for our reporting solution MicroStrategy. It's also used for ad-hoc analysis or to fuel other tools with data as it's the only place where some of the data points are available within an acceptable SLO We used it to decouple ETL and reporting databases. The…
T Venkatesh - PeerSpot reviewer
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…

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."
"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."
"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."
"Its speed is great."
"We mainly chose Exasol for its performance reasons."
"It is easy to scale."
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"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."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"I have found the solution to be scalable."
"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."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"The performance is very good and the aggregate records are fast."
"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."
 

Cons

"Lacks a cloud-based platform."
"There are limited resources available to help me resolve the issue with Exasol."
"It's not cloud-native so many maintenance operations require downtime."
"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."
"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 would be beneficial if the updates would occur more often."
"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."
"The geospatial functionality could be designed better."
"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."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"It should provide a GUI interface for data management and tuning."
"Fact-to-fact joins on multi-billion record tables perform poorly."
 

Pricing and Cost Advice

"The solution's cost is mid-ranged."
"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 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 an expensive product"
"The pricing for this solution is very reasonable compared to other vendors."
"The price could be cheaper and it is best to negotiate the price."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"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."
report
Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Insurance Company
7%
Retailer
7%
Computer Software Company
7%
Outsourcing Company
7%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise38
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
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.
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.
 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

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.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: February 2026.
881,733 professionals have used our research since 2012.