Compare Teradata vs. Vertica

Teradata is ranked 3rd in Relational Databases with 12 reviews while Vertica is ranked 3rd in Data Warehouse with 11 reviews. Teradata is rated 8.2, while Vertica is rated 8.6. The top reviewer of Teradata writes "Cuts time to process huge amounts of data with efficient analytical queries". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". Teradata is most compared with SQL Server, Oracle Exadata and Amazon Redshift, whereas Vertica is most compared with Amazon Redshift, Apache Hadoop and Snowflake. See our Teradata vs. Vertica report.
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Teradata Logo
19,000 views|14,914 comparisons
Vertica Logo
15,069 views|8,605 comparisons
Most Helpful Review
Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: September 2019.
366,239 professionals have used our research since 2012.
Quotes From Members

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

Pros
The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.A conventional and easily defined way to build a data warehouse or a layer of data marts.

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Eighty percent of the ETL operations have improved since implementing this solution.Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.It maximize cloud economics for mission-critical big data analytical initiatives.It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics.Any novice user can tune vertical queries with minimal training (or no training at all).Vertica gives knowledgeable users and DBAs excellent tools for tuning.

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Cons
The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.Needs compatibility with more Big Data platforms.

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Fact-to-fact joins on multi-billion record tables perform poorly.Support is an area where it could get better.Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.It needs integration with multiple clouds.It should provide a GUI interface for data management and tuning.Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.It would be great if this were a managed service in AWS.

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Pricing and Cost Advice
The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.

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It is fast to purchase through the AWS Marketplace.The pricing and licensing depend on the size of your environment and the zone where you want to implement.Read the fine print carefully.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.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.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.

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report
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366,239 professionals have used our research since 2012.
Ranking
3rd
Views
19,000
Comparisons
14,914
Reviews
12
Average Words per Review
228
Avg. Rating
8.2
3rd
out of 30 in Data Warehouse
Views
15,069
Comparisons
8,605
Reviews
11
Average Words per Review
272
Avg. Rating
8.5
Top Comparisons
Compared 21% of the time.
Compared 19% of the time.
Compared 11% of the time.
Compared 13% of the time.
Compared 12% of the time.
Compared 11% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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Teradata
Micro Focus
Overview

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

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 Teradata
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Sample Customers
NetflixCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Comms Service Provider43%
Manufacturing Company14%
Logistics Company14%
Financial Services Firm14%
VISITORS READING REVIEWS
Software R&D Company27%
Financial Services Firm21%
Comms Service Provider11%
Media Company5%
REVIEWERS
Software R&D Company21%
Media Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Comms Service Provider24%
Software R&D Company19%
Financial Services Firm11%
Retailer5%
Company Size
REVIEWERS
Small Business19%
Midsize Enterprise7%
Large Enterprise74%
VISITORS READING REVIEWS
Small Business47%
Midsize Enterprise10%
Large Enterprise42%
REVIEWERS
Small Business29%
Midsize Enterprise24%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise23%
Large Enterprise60%
Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: September 2019.
366,239 professionals have used our research since 2012.
We monitor all Relational Databases 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.
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