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Teradata vs Zingly.ai 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

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)
Zingly.ai
Ranking in Customer Experience Management
12th
Average Rating
9.0
Reviews Sentiment
6.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Customer Experience Management category, the mindshare of Teradata is 1.9%, down from 3.9% compared to the previous year. The mindshare of Zingly.ai is 1.1%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Customer Experience Management Mindshare Distribution
ProductMindshare (%)
Teradata1.9%
Zingly.ai1.1%
Other97.0%
Customer Experience Management
 

Featured Reviews

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.
Srivathsanr R. - PeerSpot reviewer
Head Of Business Finance at Zensar Technologies
Customer journeys have been transformed and sales teams manage client relationships more effectively
I feel that everything is all right as per our organization's requirements regarding Zingly.ai. However, something that could be improved is the learning curve; it could be more user-centric because it can be difficult for someone who is not from a technical background. About eight months back, we introduced Zingly.ai to our sales team. As they are not from the technical team, they found it very difficult to understand due to their non-technical background. When we arranged knowledge transfer sessions for them, they struggled. However, we ensured that our technical personnel provided simple demos and guided them through how to use the platform. Apart from that, I don't feel that there is any problem; everything is all right.

Quotes from Members

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

Pros

"Our customers are very impressed by Teradata's speed, because it's massively parallel processed."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"The tool's most valuable feature is the warehousing model."
"It has a solid set of tools and consulting services."
"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."
"The most valuable feature is the ease of uploading data from multiple sources."
"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"Zingly.ai has positively impacted our organization by significantly increasing the sales conversation capacity, raising it by 300%."
"Zingly.ai has positively impacted my organization by automating repetitive customer interactions, reducing support workload, improving agent productivity, and enhancing customer satisfaction."
 

Cons

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."
"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It's simple but costly."
"The SQL Assistant is very basic. This tool can be improved for usability."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"Zingly.ai should improve by adding more third-party integrations and enhancing reporting customization."
"However, something that could be improved is the learning curve; it could be more user-centric because it can be difficult for someone who is not from a technical background."
 

Pricing and Cost Advice

"The price of the solution could be reduced, it is expensive."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"Teradata used to be expensive, but they have been lowering their prices."
"Teradata is not cheap, but you get what you pay for."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"The initial cost may seem high, but the TCO is low."
"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
Information not available
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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
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
6%
No data available
 

Company Size

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

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 is your experience regarding pricing and costs for Zingly.ai?
The metering and billing experience has been really good for us since we got Zingly.ai from the AWS Marketplace. The prices and licensing were really transparent and on point; there were no hidden ...
What needs improvement with Zingly.ai?
I feel that everything is all right as per our organization's requirements regarding Zingly.ai. However, something that could be improved is the learning curve; it could be more user-centric becaus...
What is your primary use case for Zingly.ai?
Our main use case for Zingly.ai is that it serves as a relationship manager for us with our clients and customers, and it helps us improve our customer centricity and visibility over the systems.
 

Comparisons

No data available
 

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
No data available
 

Overview

 

Sample Customers

Netflix
Information Not Available
Find out what your peers are saying about Teradata vs. Zingly.ai and other solutions. Updated: June 2026.
899,204 professionals have used our research since 2012.