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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
6.9
Number of Reviews
90
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
ProductMindshare (%)
Exasol Data Warehouse1.4%
SQL Server11.9%
Oracle Database11.5%
Other75.2%
Relational Databases Tools
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.0%
Snowflake10.2%
Teradata9.0%
Other75.8%
Data Warehouse
 

Featured Reviews

Shubham-Agarwal - PeerSpot reviewer
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.
JN
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.

Quotes from Members

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

Pros

"Its speed is great."
"The speed is very good compared to other databases, like SQL Server or Oracle."
"We can quickly scale the solution as it works on an MPP system."
"The most valuable feature of Exasol is its speed."
"It is easy to scale."
"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."
"Performance is a top priority, and it excels in this aspect."
"Massive data ingestion performance"
"Before Vertica, we used a combination of sharded RDBMSs and Hive: the typical runtime for a query was in the hours; it's now in the seconds, with way more data than then (we're talking hundreds of terabytes)."
"Query Performance."
"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 initial setup was straightforward."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Certain research which was unattainable beforehand, now is in reach."
"Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution."
 

Cons

"Lacks a cloud-based platform."
"It's not cloud-native so many maintenance operations require downtime."
"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."
"There are limited resources available to help me resolve the issue with Exasol."
"They should improve the security features for MPP processing."
"The only area where we found it could improve was in custom role creation and security, and it was difficult to work with."
"You have to install Exasol drivers, and it's not easy to find or implement a driver into different systems."
"They don't talk very well to with other products when it comes to connectivity. Integration is lacking."
"Ability to use analytic functions in where clauses, being able to use aliases in the where and order by clauses will make query writing/reading a lot easier."
"The upgrade path and which way we should go, so at the end it created a lot of confusion for us, so I wouldn't upgrade it again lightly."
"Documentation has become much better, but can always use some improvement."
"When it is about to reach the maximum storage capacity, it becomes slow."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support, IDE with IntelliSense, and stored procedures which we’ve also had to build a work-around module for."
"We had confronted couple of issues during Vertica upgrades for which we do align with your support group."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
 

Pricing and Cost Advice

"The solution's cost is mid-ranged."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"The solution is relatively cost-effective."
"It is fast to purchase through the AWS Marketplace."
"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."
"Read the fine print carefully."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"From a cost perspective, the software is less than most of its competitors."
"The pricing could improve, it is a little expensive."
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Top Industries

By visitors reading reviews
Government
7%
Financial Services Firm
7%
Computer Software Company
7%
Outsourcing Company
7%
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
8%
Marketing Services Firm
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 Enterprise42
 

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?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
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...
 

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.
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