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Cisco Webex Experience Management vs Teradata 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

Cisco Webex Experience Mana...
Ranking in Customer Experience Management
15th
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
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Backup and Recovery (20th), Data Integration (16th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of February 2025, in the Customer Experience Management category, the mindshare of Cisco Webex Experience Management is 1.3%, down from 3.9% compared to the previous year. The mindshare of Teradata is 4.4%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Customer Experience Management
 

Featured Reviews

BC
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.
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.

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's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
"Things have started moving faster in my company, such as data retrieval happens more quickly.​"
"The most valuable feature is the ease of running queries."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"The tool's most valuable feature is the warehousing model."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"The solution scales well on the cloud."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
 

Cons

"It is very expensive but there are no additional charges after it's purchased."
"It needs a teaching web site with more training on third-party tools used for BI."
"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."
"The solution’s pricing, scalability, and technical support response time could be improved."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It could use some more advanced analytics relating to structured and semi-structured data."
"I would like to see more integration with many different types of data."
"The current operational approach needs improvement."
"​Their level of technical support is adequate. It could be better.​"
 

Pricing and Cost Advice

Information not available
"It's a very expensive product."
"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 of running Teradata is quite high, but you get a good return on investment."
"It comes at a notably high cost for what it offers."
"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."
"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."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."
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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
No data available
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Cisco Webex Experience Management?
It works well in general, we haven't had any issues with it. It is stable and useful.
What is your experience regarding pricing and costs for Cisco Webex Experience Management?
Cisco Webex Experience Management is very expensive but there are no additional charges after it's purchased. I would rate it a ten out of ten in terms of costliness.
What needs improvement with Cisco Webex Experience Management?
I wouldn't say it needs any improvement on the technical side, but it could be less expensive.
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,...
 

Comparisons

No data available
 

Also Known As

CloudCherry
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

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