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Cisco Webex Experience Management vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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

Cisco Webex Experience Mana...
Ranking in Customer Experience Management
21st
Average Rating
6.0
Reviews Sentiment
8.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Customer Experience Management
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Backup and Recovery (15th), Data Integration (14th), Relational Databases Tools (5th), Data Warehouse (3rd), BI (Business Intelligence) Tools (7th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of June 2026, in the Customer Experience Management category, the mindshare of Cisco Webex Experience Management is 1.4%, up from 1.1% compared to the previous year. The mindshare of Teradata is 1.9%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Customer Experience Management Mindshare Distribution
ProductMindshare (%)
Teradata1.9%
Cisco Webex Experience Management1.4%
Other96.7%
Customer Experience Management
 

Featured Reviews

reviewer2281632 - PeerSpot reviewer
Senior Advisor at a legal firm with 1,001-5,000 employees
Very stable but exceptionally costly
It is a fairly scalable solution and it does not require any maintenance. I would give it a ten out of ten for stability. Approximately 100 people use Cisco Webex Experience Management at our company. I do not use it every day, but other employees do. Unless it becomes more affordable, we do not plan to increase the usage of the solution at our company.
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

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

Pros

"It works well in general, we haven't had any issues with it. It is stable and useful."
"The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"What really impressed me is their approach to design the data warehouse."
"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"It's very mature from a technology perspective."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
 

Cons

"It is very expensive but there are no additional charges after it's purchased."
"The increasing volumes of data demand more and more performance."
"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)."
"There is a need to improve performance in high transaction processes, as well as the reporting system."
"​Their level of technical support is adequate. It could be better.​"
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge."
"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."
"The technical support is good but they could improve because sometimes they can take two weeks to resolve issues."
"One challenge I have faced regarding the main use case is the integration with AI, as Teradata does not have the AI models that other OLAP systems such as BigQuery provide, making it difficult for us to give proper recommendations without using different tools for AI integration."
 

Pricing and Cost Advice

Information not available
"The cost of running Teradata is quite high, but you get a good return on investment."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
"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 cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"It comes at a notably high cost for what it offers."
"Teradata used to be expensive, but they have been lowering their prices."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
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Comparison Review

it_user232068 - PeerSpot reviewer
Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees
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
No data available
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

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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,...
 

Also Known As

CloudCherry
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

HDFC, PUMA, Dessert School, Caratelane, MYA, Tata Steel, Titan, University of Essex, Voonik, Fasttrack, Yatra, Central, MakeMyTrip
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