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Teradata vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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

Teradata
Ranking in Data Warehouse
3rd
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (5th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), BI (Business Intelligence) Tools (9th), Marketing Management (6th)
Vertica
Ranking in Data Warehouse
8th
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Warehouse category, the mindshare of Teradata is 16.0%, up from 15.4% compared to the previous year. The mindshare of Vertica is 7.9%, down from 9.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…
T Venkatesh - PeerSpot reviewer
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

"When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"The key advantages are Performance when processing Terabytes of data and scalability."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"The solution scales well on the cloud."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"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."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"I enjoy the cybersecurity and backup features."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
 

Cons

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."
"The SQL Assistant is very basic. This tool can be improved for usability."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"Teradata's UI could be improved."
"Teradata's UI could be more user-friendly."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."
"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."
"Very bad support, I would rate it two out of 10."
"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."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Pricing could be more competitive."
"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."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"It would be great if this were a managed service in AWS."
 

Pricing and Cost Advice

"Teradata is a very expensive solution."
"The price of Teradata could be less expensive."
"The cost is significantly high."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"It comes at a notably high cost for what it offers."
"It's a very expensive product."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"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."
"It's an expensive product"
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Vertica is an expensive tool."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"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 pricing could improve, it is a little expensive."
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Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
11%
Healthcare Company
7%
Manufacturing Company
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
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.
 

Comparisons

 

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Netflix
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: May 2025.
856,873 professionals have used our research since 2012.