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Exasol vs Vertica comparison

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Exasol Logo
1,202 views|837 comparisons
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9,030 views|7,035 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Exasol and Vertica based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Exasol vs. Vertica report (Updated: September 2022).
634,325 professionals have used our research since 2012.
Featured Review
Teddy Elias
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is hands-off; you set it up insert your data and it self tunes queries."

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"It's the fastest database I have ever tested. That's the most important feature of Vertica.""The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful.""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 most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.""Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""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.""It has improved my organization's functionality and performance."

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Cons
"Lacks a cloud-based platform."

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"They could improve on customer service.""I have found that coding support could be simplified.""Support is an area where it could get 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.""They could improve the integration and some of the features in the cloud version.""We faced some challenges when trying to use the temporary tables feature.""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.""The integration of this solution with ODI could be improved."

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Pricing and Cost Advice
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  • "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 could be cheaper and it is best to negotiate the price."
  • "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."
  • "The pricing could improve, it is a little expensive."
  • "The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
  • "The pricing for this solution is very reasonable compared to other vendors."
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    Questions from the Community
    Top Answer:The solution is hands-off; you set it up insert your data and it self tunes queries.
    Top Answer:I'd like to see this solution as a full, cloud-based platform, where there's no hardware at all to worry about, virtual or otherwise. The price is quite expensive relative to other similar solutions… more »
    Top Answer:Our primary use case of this product is as a data warehouse. I'm a data architect and we are customers of Exasol.
    Top Answer:The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.
    Top Answer:The pricing for this solution is very reasonable compared to other vendors.
    Top Answer:We faced some challenges when trying to use the temporary tables feature. First, we installed Vertica on the AWS cloud and tried to read the data from Bitbucket to Vertica. We were able to read the… more »
    Ranking
    Views
    1,202
    Comparisons
    837
    Reviews
    1
    Average Words per Review
    507
    Rating
    8.0
    4th
    out of 30 in Data Warehouse
    Views
    9,030
    Comparisons
    7,035
    Reviews
    10
    Average Words per Review
    496
    Rating
    8.8
    Comparisons
    SQL Server logo
    Compared 20% of the time.
    Teradata logo
    Compared 16% of the time.
    SAP HANA logo
    Compared 13% of the time.
    Oracle Database In-Memory logo
    Compared 12% of the time.
    Oracle Database logo
    Compared 9% of the time.
    Snowflake logo
    Compared 27% of the time.
    Teradata logo
    Compared 11% of the time.
    Amazon Redshift logo
    Compared 11% of the time.
    SQL Server logo
    Compared 8% of the time.
    Oracle Exadata logo
    Compared 8% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    We’re redefining what it means to be an analytics database company. Put simply, our high-performance in-memory analytics database gives you the power to transform how your organization works with data, on-premises, in the cloud or both – and turn it into value faster, easier and more cost effectively than ever before. What makes our analytics database different? Unrivalled performance Unlock analytics as fast as you think – and get unrivalled performance, anywhere you have data. Our database does this at scale, by processing 100's of TBs of data within milliseconds. We’re ranked the world’s fastest by TPC-H, the industry benchmark for evaluating performance. And you’ll get this anywhere you have data – be in on the cloud, on-premise or as part of a hybrid http://approach.So, when speed to value is key for building a highly successful data environment, you’ll have everything to stay ahead of your competitors. Significantly reduced TCO An intelligent, self-tuning and resource-efficient database – giving you complete cost predictability for your cloud, on-premises or hybrid strategy. There’s minimum maintenance and our database works as part of our existing infrastructure. So, you’ll get the predictability, flexibility and control to significantly minimize your TCO over the long term. Unifying AI and BI Operationalize your AI, ML and BI teams – using any BI tool and data science language. Our architecture enables you to perform advanced analytical tasks on large volumes of data – right in the database. And we’ve made it easy to bring Artificial Intelligence (AI) and Machine Learning (ML) algorithms and (BI) Business Intelligence directly to where you keep your data – so you can solve complex analytic challenges like predictive analytics with the minimum of fuss. Complete freedom to adapt and change With no platform, vendor or architecture lock-in. You’re free to adapt your data strategy to whatever you need. Our open integration framework is designed to give you the smartest and most extensible analytics database on the planet. Along with multi-platform and deployment support, our virtual schemas enable you to connect and analyse data from more sources than ever before – and the scalability options are limitless.

    Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

    To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

    Offer
    Learn more about Exasol
    Learn more about Vertica
    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.
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider20%
    Computer Software Company17%
    Insurance Company8%
    Financial Services Firm8%
    REVIEWERS
    Computer Software Company21%
    Media Company18%
    Marketing Services Firm15%
    Comms Service Provider12%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Comms Service Provider15%
    Financial Services Firm13%
    Manufacturing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise16%
    Large Enterprise65%
    REVIEWERS
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise70%
    Buyer's Guide
    Relational Databases Tools
    September 2022
    Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: September 2022.
    634,325 professionals have used our research since 2012.

    Exasol is ranked 17th in Relational Databases Tools with 1 review while Vertica is ranked 4th in Data Warehouse with 11 reviews. Exasol is rated 8.0, while Vertica is rated 8.8. The top reviewer of Exasol writes "A great tool and platform; self-tunes queries and works efficiently". On the other hand, the top reviewer of Vertica writes "Enhanced capabilities, good customer service, large data scalability and stable". Exasol is most compared with SQL Server, Teradata, SAP HANA, Oracle Database In-Memory and Oracle Database, whereas Vertica is most compared with Snowflake, Teradata, Amazon Redshift, SQL Server and Oracle Exadata.

    We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.