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Teradata vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 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
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (4th), Backup and Recovery (20th), Data Integration (16th), Relational Databases Tools (7th), BI (Business Intelligence) Tools (10th), Marketing Management (6th)
Vertica
Ranking in Data Warehouse
5th
Ranking in Cloud Data Warehouse
10th
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 March 2025, in the Data Warehouse category, the mindshare of Teradata is 16.1%, up from 15.2% compared to the previous year. The mindshare of Vertica is 8.5%, up from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

SurjitChoudhury - PeerSpot reviewer
Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities
We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. 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. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.
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

"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"The product is reliable."
"Teradata's pretty fast."
"It has a solid set of tools and consulting services."
"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."
"It is a stable program."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"It has improved my organization's functionality and performance."
"Allows us to take volumes and process them at a very high speed."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. ​"
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
 

Cons

"Needs compatibility with more Big Data platforms."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"Teradata can improve the way it handles big data and unstructured data."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Teradata has a few AI models, but in data science, we need more flexibility."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"GUI of administrative tools is really outdated."
"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."
"When it is about to reach the maximum storage capacity, it becomes slow."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"The integration of this solution with ODI could be improved."
"The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases."
"They could improve the integration and some of the features in the cloud version."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
 

Pricing and Cost Advice

"Teradata's licensing is on the expensive side."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"Teradata used to be expensive, but they have been lowering their prices."
"Teradata is not cheap, but you get what you pay for."
"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."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"The cost of running Teradata is quite high, but you get a good return on investment."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"From a cost perspective, the software is less than most of its competitors."
"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."
"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."
"The pricing for this solution is very reasonable compared to other vendors."
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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
26%
Computer Software Company
11%
Manufacturing Company
7%
Healthcare Company
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
8%
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: February 2025.
842,161 professionals have used our research since 2012.